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ORCIDVikram Krishnamurthy
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- affiliation: Cornell University, Ithaca, NY, USA
- affiliation: University of British Columbia, Vancouver, Canada
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2020 – today
- 2024
[j189]Luke Snow, Shashwat Jain, Vikram Krishnamurthy:
Lyapunov based stochastic stability of a quantum decision system for human-machine interaction. Autom. 164: 111628 (2024)- [j188]Amir Leshem, Vikram Krishnamurthy, Tomer Boyarski:
Distributed learning in congested environments with partial information. Autom. 169: 111817 (2024) - [j187]Adit Jain
, Vikram Krishnamurthy:
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization. IEEE Control. Syst. Lett. 8: 1295-1300 (2024) - [j186]Rui Luo, Vikram Krishnamurthy:
Fréchet-Statistics-Based Change Point Detection in Dynamic Social Networks. IEEE Trans. Comput. Soc. Syst. 11(2): 2863-2871 (2024) - [j185]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models. IEEE Trans. Comput. Soc. Syst. 11(6): 7778-7788 (2024) - [j184]Adit Jain, Vikram Krishnamurthy:
Controlling Federated Learning for Covertness. Trans. Mach. Learn. Res. 2024 (2024) - [c183]Vikram Krishnamurthy, Cristian R. Rojas:
Slow Convergence of Interacting Kalman Filters in Word-of-Mouth Social Learning. Allerton 2024: 1-6 - [i87]Shashwat Jain, Vikram Krishnamurthy, Muralidhar Rangaswamy, Bosung Kang, Sandeep Gogineni:
Fisher Information Approach for Masking the Sensing Plan: Applications in Multifunction Radars. CoRR abs/2403.15966 (2024) - [i86]Luke Snow, Vikram Krishnamurthy:
Adaptive Mechanism Design using Multi-Agent Revealed Preferences. CoRR abs/2404.15391 (2024) - [i85]Adit Jain, Vikram Krishnamurthy:
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization. CoRR abs/2405.07415 (2024) - [i84]Adit Jain, Vikram Krishnamurthy:
Identifying Hate Speech Peddlers in Online Platforms. A Bayesian Social Learning Approach for Large Language Model Driven Decision-Makers. CoRR abs/2405.07417 (2024) - [i83]Luke Snow, Vikram Krishnamurthy:
Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated Sensing. CoRR abs/2409.14542 (2024) - [i82]Vikram Krishnamurthy, Cristian R. Rojas:
Slow Convergence of Interacting Kalman Filters in Word-of-Mouth Social Learning. CoRR abs/2410.08447 (2024) - [i81]George Yin, Vikram Krishnamurthy:
Finite Sample and Large Deviations Analysis of Stochastic Gradient Algorithm with Correlated Noise. CoRR abs/2410.08449 (2024) - [i80]Adit Jain, Soumyabrata Pal, Sunav Choudhary, Ramasuri Narayanam, Vikram Krishnamurthy:
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits. CoRR abs/2410.20041 (2024) - [i79]Adit Jain, Vikram Krishnamurthy:
Interacting Large Language Model Agents. Interpretable Models and Social Learning. CoRR abs/2411.01271 (2024) - 2023
- [j183]Vikram Krishnamurthy:
Interval dominance based structural results for Markov decision process. Autom. 153: 111024 (2023) - [j182]Kunal Pattanayak, Vikram Krishnamurthy:
Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems. J. Mach. Learn. Res. 24: 52:1-52:64 (2023) - [j181]Shashwat Jain, Vikram Krishnamurthy, Muralidhar Rangaswamy, Bosung Kang, Sandeep Gogineni:
Radar Clutter Covariance Estimation: A Nonlinear Spectral Shrinkage Approach. IEEE Trans. Aerosp. Electron. Syst. 59(6): 7640-7653 (2023) - [j180]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
Metacognitive Radar: Masking Cognition From an Inverse Reinforcement Learner. IEEE Trans. Aerosp. Electron. Syst. 59(6): 8826-8844 (2023) - [j179]Vikram Krishnamurthy:
Adaptive Filtering Algorithms for Set-Valued Observations - Symmetric Measurement Approach to Unlabeled and Anonymized Data. IEEE Trans. Signal Process. 71: 2760-2775 (2023) - [c182]Luke Snow, Vikram Krishnamurthy:
Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning Using Passive Langevin Dynamics. CDC 2023: 3618-3625 - [c181]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Anomalous Edge Detection in Edge Exchangeable Social Network Models. COPA 2023: 287-310 - [c180]Luke Snow, Vikram Krishnamurthy, Brian M. Sadler:
Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization. FUSION 2023: 1-8 - [c179]Shashwat Jain, Vikram Krishnamurthy, Muralidhar Rangaswamy, Bosung Kang, Sandeep Gogineni:
Radar Clutter Covariance Estimation: A Nonlinear Spectral Shrinkage Approach. ICASSP 2023: 1-5 - [c178]Shashwat Jain, Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
Adaptive Eccm for Mitigating Smart Jammers. ICASSP 2023: 1-5 - [c177]Vikram Krishnamurthy:
Adaptive Filtering Algorithms For Set-Valued Observations-Symmetric Measurement Approach To Unlabeled And Anonymized Data. ICASSP 2023: 1-5 - [c176]Luke Snow, Vikram Krishnamurthy, Brian M. Sadler:
Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach. ICASSP 2023: 1-5 - [i78]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models. CoRR abs/2303.09990 (2023) - [i77]Rui Luo, Vikram Krishnamurthy:
Fréchet Statistics Based Change Point Detection in Dynamic Social Networks. CoRR abs/2303.10753 (2023) - [i76]Rui Luo, Vikram Krishnamurthy:
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution. CoRR abs/2303.16741 (2023) - [i75]Luke Snow, Vikram Krishnamurthy:
Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning using Passive Langevin Dynamics. CoRR abs/2304.09123 (2023) - [i74]Anurag Gupta, Vikram Krishnamurthy:
Energy-Efficient Mining for Blockchain-Enabled IoT Applications. An Optimal Multiple-Stopping Time Approach. CoRR abs/2305.05479 (2023) - [i73]Rui Luo, Vikram Krishnamurthy:
Fréchet Statistics Based Change Point Detection in Multivariate Hawkes Process. CoRR abs/2308.06769 (2023) - [i72]Adit Jain, Vikram Krishnamurthy:
Controlling Federated Learning for Covertness. CoRR abs/2308.08825 (2023) - 2022
- [j178]Vikram Krishnamurthy, George Yin:
Multikernel Passive Stochastic Gradient Algorithms and Transfer Learning. IEEE Trans. Autom. Control. 67(4): 1792-1805 (2022) - [j177]Anurag Gupta, Vikram Krishnamurthy:
Principal-Agent Problem as a Principled Approach to Electronic Counter-Countermeasures in Radar. IEEE Trans. Aerosp. Electron. Syst. 58(4): 3223-3235 (2022) - [j176]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation. IEEE Trans. Comput. Soc. Syst. 9(3): 891-901 (2022) - [j175]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Controlling Segregation in Social Network Dynamics as an Edge Formation Game. IEEE Trans. Netw. Sci. Eng. 9(4): 2317-2329 (2022) - [c175]Vikram Krishnamurthy, Luke Snow:
Quickest Change Detection using Time Inconsistent Anticipatory and Quantum Decision Modeling. Allerton 2022: 1-8 - [c174]Luke Snow, Shashwat Jain, Vikram Krishnamurthy:
Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach. CDC 2022: 3170-3175 - [c173]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner. CDC 2022: 3631-3636 - [c172]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars. FUSION 2022: 1-8 - [c171]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
How Can a Cognitive Radar Mask its Cognition? ICASSP 2022: 5897-5901 - [i71]Rui Luo, Vikram Krishnamurthy:
Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks. CoRR abs/2201.07076 (2022) - [i70]Anurag Gupta, Vikram Krishnamurthy:
Controlling Transaction Rate in Tangle Ledger: A Principal Agent Problem Approach. CoRR abs/2203.05643 (2022) - [i69]Vikram Krishnamurthy:
Interval Dominance based Structural Results for Markov Decision Process. CoRR abs/2203.10618 (2022) - [i68]Rui Luo, Vikram Krishnamurthy, Erik Blasch:
Hawkes Process Modeling of Block Arrivals in Bitcoin Blockchain. CoRR abs/2203.16666 (2022) - [i67]Luke Snow, Shashwat Jain, Vikram Krishnamurthy:
Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach. CoRR abs/2204.00059 (2022) - [i66]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars. CoRR abs/2205.01794 (2022) - [i65]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
Inverse-Inverse Reinforcement Learning. How to Hide Strategy from an Adversarial Inverse Reinforcement Learner. CoRR abs/2205.10802 (2022) - [i64]Luke Snow, Shashwat Jain, Vikram Krishnamurthy:
Lyapunov based Stochastic Stability of a Quantum Decision System for Human-Machine Interaction. CoRR abs/2205.12378 (2022) - [i63]Buddhika Nettasinghe, Kowe Kadoma, Mor Naaman, Vikram Krishnamurthy:
Estimating Exposure to Information on Social Networks. CoRR abs/2207.05980 (2022) - [i62]Luke Snow, Vikram Krishnamurthy, Brian M. Sadler:
Quickest Detection for Human-Sensor Systems using Quantum Decision Theory. CoRR abs/2208.08583 (2022) - [i61]Vikram Krishnamurthy:
Adaptive Filtering Algorithms for Set-Valued Observations - Symmetric Measurement Approach to Unlabeled and Anonymized Data. CoRR abs/2208.14576 (2022) - [i60]Kunal Pattanayak, Vikram Krishnamurthy, Christopher Berry:
How can a Radar Mask its Cognition? CoRR abs/2210.11444 (2022) - [i59]Luke Snow, Vikram Krishnamurthy, Brian M. Sadler:
Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach. CoRR abs/2211.06967 (2022) - [i58]Kunal Pattanayak, Shashwat Jain, Vikram Krishnamurthy, Christopher Berry:
Adaptive ECCM for Mitigating Smart Jammers. CoRR abs/2212.02002 (2022) - 2021
- [j174]Buddhika Nettasinghe, Nazanin Alipourfard, Stephen Iota, Vikram Krishnamurthy, Kristina Lerman:
Scale-free degree distributions, homophily and the glass ceiling effect in directed networks. J. Complex Networks 10(2) (2021) - [j173]Vikram Krishnamurthy, George Yin:
Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms. J. Mach. Learn. Res. 22: 121:1-121:49 (2021) - [j172]Geethu Joseph, Buddhika Nettasinghe, Vikram Krishnamurthy, Pramod K. Varshney:
Controllability of Network Opinion in Erdös-Rényi Graphs Using Sparse Control Inputs. SIAM J. Control. Optim. 59(3): 2321-2345 (2021) - [j171]Sujay Bhatt, Vikram Krishnamurthy:
Controlled Sequential Information Fusion With Social Sensors. IEEE Trans. Autom. Control. 66(12): 5893-5908 (2021) - [j170]Bashar I. Ahmad, Simon J. Godsill, Vikram Krishnamurthy, Peter Willett, Muralidhar Rangaswamy:
Foreword to the Special Section on Meta-Level and Adversarial Tracking. IEEE Trans. Aerosp. Electron. Syst. 57(4): 1994-1995 (2021) - [j169]Vikram Krishnamurthy, Kunal Pattanayak, Sandeep Gogineni, Bosung Kang, Muralidhar Rangaswamy:
Adversarial Radar Inference: Inverse Tracking, Identifying Cognition, and Designing Smart Interference. IEEE Trans. Aerosp. Electron. Syst. 57(4): 2067-2081 (2021) - [j168]William Hoiles, S. M. Shahrear Tanzil, Vikram Krishnamurthy:
Risk-Averse Caching Policies for YouTube Content in Femtocell Networks using Density Forecasting. IEEE Trans. Cloud Comput. 9(1): 331-346 (2021) - [j167]Buddhika Nettasinghe, Vikram Krishnamurthy:
Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox-based Sampling. ACM Trans. Knowl. Discov. Data 15(6): 106:1-106:28 (2021) - [j166]Buddhika Nettasinghe, Vikram Krishnamurthy:
"What Do Your Friends Think?": Efficient Polling Methods for Networks Using Friendship Paradox. IEEE Trans. Knowl. Data Eng. 33(3): 1291-1305 (2021) - [j165]Vikram Krishnamurthy:
Quickest Change Detection of Time Inconsistent Anticipatory Agents. Human-Sensor and Cyber-Physical Systems. IEEE Trans. Signal Process. 69: 1054-1069 (2021) - [c170]Alec Koppel, Amrit S. Bedi, Vikram Krishnamurthy:
A Dynamical Systems Perspective on Online Bayesian Nonparametric Estimators with Adaptive Hyperparameters. ICASSP 2021: 2975-2979 - [c169]Vikram Krishnamurthy:
Quickest Change Detection With Time Inconsistent Anticipatory Agents In Cyber-Physical Systems. ICASSP 2021: 5000-5004 - [c168]Vikram Krishnamurthy, Rui Luo, Buddhika Nettasinghe:
Segregation in Social Networks: MARKOV Bridge Models and Estimation. ICASSP 2021: 5484-5488 - [i57]Kunal Pattanayak, Vikram Krishnamurthy:
Behavioral Economics Approach to Interpretable Deep Image Classification. Rationally Inattentive Utility Maximization Explains Deep Image Classification. CoRR abs/2102.04594 (2021) - [i56]Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman:
Emergence of Structural Inequalities in Scientific Citation Networks. CoRR abs/2103.10944 (2021) - [i55]Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman:
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect. CoRR abs/2103.12149 (2021) - [i54]Tomer Boyarski, Amir Leshem, Vikram Krishnamurthy:
Distributed learning in congested environments with partial information. CoRR abs/2103.15901 (2021) - [i53]Kunal Pattanayak, Vikram Krishnamurthy:
Unifying Classical and Bayesian Revealed Preference. CoRR abs/2106.14486 (2021) - [i52]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Controlling Segregation in Social Network Dynamics as an Edge Formation Game. CoRR abs/2108.12741 (2021) - [i51]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Anomalous Edge Detection in Edge Exchangeable Social Network Models. CoRR abs/2109.12727 (2021) - 2020
- [j164]William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak:
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior. J. Mach. Learn. Res. 21: 170:1-170:39 (2020) - [j163]Vikram Krishnamurthy:
Convex Stochastic Dominance in Bayesian Localization, Filtering, and Controlled Sensing POMDPs. IEEE Trans. Inf. Theory 66(5): 3187-3201 (2020) - [j162]Buddhika Nettasinghe, Vikram Krishnamurthy, Kristina Lerman:
Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox, and Reactive Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1121-1132 (2020) - [j161]Vikram Krishnamurthy, Daniel Angley, Robin J. Evans, Bill Moran:
Identifying Cognitive Radars - Inverse Reinforcement Learning Using Revealed Preferences. IEEE Trans. Signal Process. 68: 4529-4542 (2020) - [j160]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems. IEEE Trans. Signal Process. 68: 4987-5002 (2020) - [c167]Kunal Pattanayak, Vikram Krishnamurthy, Erik Blasch:
Inverse Sequential Hypothesis Testing. FUSION 2020: 1-7 - [c166]Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg:
What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. ICASSP 2020: 5495-5499 - [c165]Robert Mattila, Cristian R. Rojas, Eric Moulines, Vikram Krishnamurthy, Bo Wahlberg:
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations. ICML 2020: 6785-6796 - [i50]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Inverse Filtering for Hidden Markov Models with Applications to Counter-Adversarial Autonomous Systems. CoRR abs/2001.11809 (2020) - [i49]Vikram Krishnamurthy:
Anticipatory Psychological Models for Quickest Change Detection: Human Sensor Interaction. CoRR abs/2003.10910 (2020) - [i48]Geethu Joseph, Buddhika Nettasinghe, Vikram Krishnamurthy, Pramod K. Varshney:
Controllability of Network Opinion in Erdős-Rényi Graphs using Sparse Control Inputs. CoRR abs/2003.12817 (2020) - [i47]Sujay Bhatt, Alec Koppel, Vikram Krishnamurthy:
Policy Gradient using Weak Derivatives for Reinforcement Learning. CoRR abs/2004.04843 (2020) - [i46]Vikram Krishnamurthy, George Yin:
Langevin Dynamics for Inverse Reinforcement Learning of Stochastic Gradient Algorithms. CoRR abs/2006.11674 (2020) - [i45]Kunal Pattanayak, Vikram Krishnamurthy:
Inverse Reinforcement Learning for Sequential Hypothesis Testing and Search. CoRR abs/2007.03481 (2020) - [i44]Vikram Krishnamurthy, Kunal Pattanayak, Sandeep Gogineni, Bosung Kang, Muralidhar Rangaswamy:
Adversarial Radar Inference: Inverse Tracking, Identifying Cognition and Designing Smart Interference. CoRR abs/2008.01559 (2020) - [i43]Vikram Krishnamurthy, George Yin:
Multi-kernel Passive Stochastic Gradient Algorithms. CoRR abs/2008.10020 (2020) - [i42]Bingjia Wang, Alec Koppel, Vikram Krishnamurthy:
A Markov Decision Process Approach to Active Meta Learning. CoRR abs/2009.04950 (2020) - [i41]Vikram Krishnamurthy, George Yin:
Adaptive Non-reversible Stochastic Gradient Langevin Dynamics. CoRR abs/2009.12690 (2020) - [i40]Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy:
Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation. CoRR abs/2012.13643 (2020)
2010 – 2019
- 2019
- [j159]Robert Mattila, Inês Lourenço, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Estimating Private Beliefs of Bayesian Agents Based on Observed Decisions. IEEE Control. Syst. Lett. 3(3): 523-528 (2019) - [j158]S. M. Shahrear Tanzil, Omid Namvar Gharehshiran, Vikram Krishnamurthy:
A Distributed Coalition Game Approach to Femto-Cloud Formation. IEEE Trans. Cloud Comput. 7(1): 129-140 (2019) - [j157]Buddhika Nettasinghe, Vikram Krishnamurthy:
Influence Maximization Over Markovian Graphs: A Stochastic Optimization Approach. IEEE Trans. Signal Inf. Process. over Networks 5(1): 1-14 (2019) - [j156]Sujay Bhatt, Vikram Krishnamurthy:
Adaptive Polling in Hierarchical Social Networks Using Blackwell Dominance. IEEE Trans. Signal Inf. Process. over Networks 5(3): 538-553 (2019) - [j155]Vikram Krishnamurthy, Muralidhar Rangaswamy:
How to Calibrate Your Adversary's Capabilities? Inverse Filtering for Counter-Autonomous Systems. IEEE Trans. Signal Process. 67(24): 6511-6525 (2019) - [c164]Vikram Krishnamurthy, Kusha Nezafati, Juhyun Bae, Mehmet Emre Gursoy, Mian Zhong, Vikrant Singh:
Classification of Driving Behavior Events Utilizing Kinematic Classification and Machine Learning for Down Sampled Time Series Data. IEEE BigData 2019: 3789-3796 - [c163]Vikram Krishnamurthy, Kusha Nezafati, Vikrant Singh:
Application of Machine Learning and Spatial Bootstrapping to Image Processing for Predictive Maintenance. IEEE BigData 2019: 4395-4401 - [c162]Sujay Bhatt, Alec Koppel, Vikram Krishnamurthy:
Policy Gradient using Weak Derivatives for Reinforcement Learning. CDC 2019: 5531-5537 - [c161]Sujay Bhatt, Alec Koppel, Vikram Krishnamurthy:
Policy Gradient using Weak Derivatives for Reinforcement Learning. CISS 2019: 1-3 - [c160]Sujay Bhatt, Buddhika Nettasinghe, Vikram Krishnamurthy:
Efficient Polling Algorithms using Friendship Paradox and Blackwell Dominance. FUSION 2019: 1-8 - [c159]Vikram Krishnamurthy, Muralidhar Rangaswamy:
How to Calibrate your Enemy's Capabilities? Inverse Filtering for Counter-Autonomous Systems. FUSION 2019: 1-6 - [c158]Buddhika Nettasinghe, Vikram Krishnamurthy:
The Friendship Paradox: Implications In Statistical Inference Of Social Networks. MLSP 2019: 1-6 - [i39]Vikram Krishnamurthy:
Convex Stochastic Dominance in Bayesian Estimation and Controlled Sensing POMDPs. CoRR abs/1904.00287 (2019) - [i38]Nazanin Alipourfard, Buddhika Nettasinghe, Andrés Abeliuk, Vikram Krishnamurthy, Kristina Lerman:
Friendship Paradox Biases Perceptions in Directed Networks. CoRR abs/1905.05286 (2019) - [i37]Buddhika Nettasinghe, Vikram Krishnamurthy:
Maximum likelihood estimation of power-law degree distributions using friendship paradox based sampling. CoRR abs/1908.00310 (2019) - [i36]Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg:
What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. CoRR abs/1910.07332 (2019) - [i35]William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak:
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior. CoRR abs/1910.11703 (2019) - [i34]Vikram Krishnamurthy, Robin J. Evans, William Moran:
Inverse Cognitive Radar - A Revealed Preferences Approach. CoRR abs/1912.00331 (2019) - 2018
- [j154]Vikram Krishnamurthy, Anup Aprem, Sujay Bhatt:
Multiple stopping time POMDPs: Structural results & application in interactive advertising on social media. Autom. 95: 385-398 (2018) - [c157]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Inverse Filtering for Linear Gaussian State-Space Models. CDC 2018: 5556-5561 - [c156]Sujay Bhatt, Vikram Krishnamurthy, Muralidhar Rangaswamy:
Controlled Sentiment Sampling for Information Fusion in Social Networks. FUSION 2018: 1157-1162 - [i33]Buddhika Nettasinghe, Vikram Krishnamurthy:
What Do Your Friends Think? Efficient Polling Methods for Networks Using Friendship Paradox. CoRR abs/1802.06505 (2018) - [i32]Vikram Krishnamurthy:
POMDP Structural Results for Controlled Sensing using Lehmann Precision. CoRR abs/1806.08733 (2018) - [i31]Sujay Bhatt, Vikram Krishnamurthy:
Adaptive Polling in Hierarchical Social Networks using Blackwell Dominance. CoRR abs/1810.00571 (2018) - [i30]Buddhika Nettasinghe, Vikram Krishnamurthy, Kristina Lerman:
Contagions in Social Networks: Effects of Monophilic Contagion, Friendship Paradox and Reactive Networks. CoRR abs/1810.05822 (2018) - [i29]Vikram Krishnamurthy, Buddhika Nettasinghe:
Information Diffusion in Social Networks: Friendship Paradox based Models and Statistical Inference. CoRR abs/1812.06790 (2018) - [i28]William Hoiles, Vikram Krishnamurthy:
Estimating Rationally Inattentive Utility Functions with Deep Clustering for Framing - Applications in YouTube Engagement Dynamics. CoRR abs/1812.09640 (2018) - 2017
- [j153]S. M. Shahrear Tanzil, William Hoiles, Vikram Krishnamurthy:
Adaptive Scheme for Caching YouTube Content in a Cellular Network: Machine Learning Approach. IEEE Access 5: 5870-5881 (2017) - [j152]Sujay Bhatt, Vikram Krishnamurthy:
Incentivized Information Fusion with Social Sensors. SIGMETRICS Perform. Evaluation Rev. 45(3): 90-95 (2017) - [j151]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models. IEEE Signal Process. Lett. 24(12): 1813-1817 (2017) - [j150]Omid Namvar Gharehshiran, Vikram Krishnamurthy, Gang George Yin:
Adaptive Search Algorithms for Discrete Stochastic Optimization: A Smooth Best-Response Approach. IEEE Trans. Autom. Control. 62(1): 161-176 (2017) - [j149]William Hoiles, Anup Aprem, Vikram Krishnamurthy:
Engagement and Popularity Dynamics of YouTube Videos and Sensitivity to Meta-Data. IEEE Trans. Knowl. Data Eng. 29(7): 1426-1437 (2017) - [j148]Vikram Krishnamurthy, Sujay Bhatt, Tavis Pedersen:
Tracking Infection Diffusion in Social Networks: Filtering Algorithms and Threshold Bounds. IEEE Trans. Signal Inf. Process. over Networks 3(2): 298-315 (2017) - [j147]Anup Aprem, Vikram Krishnamurthy:
Utility Change Point Detection in Online Social Media: A Revealed Preference Framework. IEEE Trans. Signal Process. 65(7): 1869-1880 (2017) - [c155]Sujay Bhatt, Vikram Krishnamurthy:
Controlled information fusion with risk-averse CVaR social sensors. CDC 2017: 2605-2610 - [c154]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Identification of hidden Markov models using spectral learning with likelihood maximization. CDC 2017: 5859-5864 - [c153]Anup Aprem, Vikram Krishnamurthy:
A data centric approach to utility change detection in online social media. ICASSP 2017: 3929-3933 - [c152]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Inverse Filtering for Hidden Markov Models. NIPS 2017: 4204-4213 - [i27]Vikram Krishnamurthy:
POMDP Structural Results for Controlled Sensing. CoRR abs/1701.00179 (2017) - [i26]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models. CoRR abs/1702.00155 (2017) - [i25]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach. CoRR abs/1704.00621 (2017) - [i24]Sujay Bhatt, Vikram Krishnamurthy:
Controlled Sequential Information Fusion with Social Sensors. CoRR abs/1710.10546 (2017) - [i23]Buddhika Nettasinghe, Vikram Krishnamurthy:
Influence Maximization over Markovian Graphs: A Stochastic Optimization Approach. CoRR abs/1711.03327 (2017) - [i22]Vikram Krishnamurthy, Anup Aprem, Sujay Bhatt:
Multiple Stopping Time POMDPs: Structural Results & Application in Interactive Advertising in Social Media. CoRR abs/1712.00524 (2017) - [i21]Sujay Bhatt, Vikram Krishnamurthy:
Controlled Information Fusion with Risk-Averse CVaR Social Sensors. CoRR abs/1712.07773 (2017) - [i20]Vikram Krishnamurthy, Yan Duan:
Dependence Structure Analysis Of Meta-level Metrics in YouTube Videos: A Vine Copula Approach. CoRR abs/1712.10232 (2017) - 2016
- [j146]William Hoiles, Vikram Krishnamurthy, Anup Aprem:
PAC Algorithms for Detecting Nash Equilibrium Play in Social Networks: From Twitter to Energy Markets. IEEE Access 4: 8147-8161 (2016) - [j145]Vikram Krishnamurthy, Sujay Bhatt:
Sequential Detection of Market Shocks With Risk-Averse CVaR Social Sensors. IEEE J. Sel. Top. Signal Process. 10(6): 1061-1072 (2016) - [j144]Omid Namvar Gharehshiran, William Hoiles, Vikram Krishnamurthy:
Detection of Homophilic Communities and Coordination of Interacting Meta-Agents: A Game-Theoretic Viewpoint. IEEE Trans. Signal Inf. Process. over Networks 2(1): 84-101 (2016) - [c151]Vikram Krishnamurthy, Anup Aprem, Sujay Bhatt:
Multiple stopping time POMDPs: Structural results. Allerton 2016: 115-120 - [i19]Vikram Krishnamurthy, Sujay Bhatt, Tavis Pedersen:
Tracking Infection Diffusion in Social Networks: Filtering Algorithms and Threshold Bounds. CoRR abs/1610.10031 (2016) - [i18]Vikram Krishnamurthy, Anup Aprem, Sujay Bhatt:
Opportunistic Advertisement Scheduling in Live Social Media: A Multiple Stopping Time POMDP Approach. CoRR abs/1611.00291 (2016) - [i17]William Hoiles, Anup Aprem, Vikram Krishnamurthy:
Engagement dynamics and sensitivity analysis of YouTube videos. CoRR abs/1611.00687 (2016) - [i16]Sijia Gao, Vikram Krishnamurthy:
Roadmap Enhanced Improvement to the VSIMM Tracker via a Constrained Stochastic Context Free Grammar. CoRR abs/1611.03466 (2016) - 2015
- [j143]Vikram Krishnamurthy, Udit Pareek:
Myopic Bounds for Optimal Policy of POMDPs: An Extension of Lovejoy's Structural Results. Oper. Res. 63(2): 428-434 (2015) - [j142]William Hoiles, Vikram Krishnamurthy, Bruce Cornell:
Modelling the Bioelectronic Interface in Engineered Tethered Membranes: From Biosensing to Electroporation. IEEE Trans. Biomed. Circuits Syst. 9(3): 321-333 (2015) - [j141]William Hoiles, Omid Namvar Gharehshiran, Vikram Krishnamurthy, Ngoc-Dung Dào, Hang Zhang:
Adaptive Caching in the YouTube Content Distribution Network: A Revealed Preference Game-Theoretic Learning Approach. IEEE Trans. Cogn. Commun. Netw. 1(1): 71-85 (2015) - [j140]William Hoiles, Vikram Krishnamurthy:
Dynamic Modeling of Antimicrobial Pore Formation in Engineered Tethered Membranes. IEEE Trans. Mol. Biol. Multi Scale Commun. 1(3): 265-276 (2015) - [j139]William Hoiles, Vikram Krishnamurthy:
Nonparametric Demand Forecasting and Detection of Energy Aware Consumers. IEEE Trans. Smart Grid 6(2): 695-704 (2015) - [j138]Mohammad Ghasemi Damavandi, Vikram Krishnamurthy, José R. Martí:
Robust Meter Placement for State Estimation in Active Distribution Systems. IEEE Trans. Smart Grid 6(4): 1972-1982 (2015) - [c150]Omid Namvar Gharehshiran, Vikram Krishnamurthy, Gang George Yin:
A regret-based approach to non-stationary discrete stochastic optimization. CDC 2015: 3959-3964 - [c149]Robert Mattila, Vikram Krishnamurthy, Bo Wahlberg:
Recursive identification of chain dynamics in Hidden Markov Models using Non-Negative Matrix Factorization. CDC 2015: 4011-4016 - [c148]S. M. Shahrear Tanzil, Omid Namvar Gharehshiran, Vikram Krishnamurthy:
Femto-Cloud Formation: A Coalitional Game-Theoretic Approach. GLOBECOM 2015: 1-6 - [c147]Daniel Crawford, Vikram Krishnamurthy:
Monotone optimal policies in portfolio liquidation problems. ICASSP 2015: 3521-3525 - [c146]Mustafa Fanaswala, Vikram Krishnamurthy:
Meta-level tracking for gestural intent recognition. ICASSP 2015: 5600-5604 - [i15]Vikram Krishnamurthy, William Hoiles:
Online Reputation and Polling Systems: Data Incest, Social Learning and Revealed Preferences. CoRR abs/1501.00994 (2015) - [i14]Omid Namvar Gharehshiran, William Hoiles, Vikram Krishnamurthy:
Reinforcement Learning and Nonparametric Detection of Game-Theoretic Equilibrium Play in Social Networks. CoRR abs/1501.01209 (2015) - 2014
- [j137]Vikram Krishnamurthy, Omid Namvar Gharehshiran, Maziyar Hamdi:
Interactive Sensing and Decision Making in Social Networks. Found. Trends Signal Process. 7(1-2): 1-196 (2014) - [j136]H. Vincent Poor, Kwang-Cheng Chen, Vikram Krishnamurthy, Devavrat Shah, Patrick J. Wolfe:
Introduction to the Issue on Signal Processing for Social Networks [Guest editorial]. IEEE J. Sel. Top. Signal Process. 8(4): 511-513 (2014) - [j135]Vikram Krishnamurthy, H. Vincent Poor:
A Tutorial on Interactive Sensing in Social Networks. IEEE Trans. Comput. Soc. Syst. 1(1): 3-21 (2014) - [j134]Vikram Krishnamurthy, William Hoiles:
Online Reputation and Polling Systems: Data Incest, Social Learning, and Revealed Preferences. IEEE Trans. Comput. Soc. Syst. 1(3): 164-179 (2014) - [j133]Maziyar Hamdi, Vikram Krishnamurthy, Gang George Yin:
Tracking a Markov-Modulated Stationary Degree Distribution of a Dynamic Random Graph. IEEE Trans. Inf. Theory 60(10): 6609-6625 (2014) - [j132]Maryam Abolfath Beygi, Vikram Krishnamurthy:
Biosensor Arrays for Estimating Molecular Concentration in Fluid Flows. IEEE Trans. Signal Process. 62(1): 239-251 (2014) - [j131]Mustafa Fanaswala, Vikram Krishnamurthy:
Syntactic Models for Trajectory Constrained Track-Before-Detect. IEEE Trans. Signal Process. 62(23): 6130-6142 (2014) - [j130]Vikram Krishnamurthy, Cristian R. Rojas:
Reduced Complexity HMM Filtering With Stochastic Dominance Bounds: A Convex Optimization Approach. IEEE Trans. Signal Process. 62(23): 6309-6322 (2014) - [c145]Omid Namvar Gharehshiran, Vikram Krishnamurthy, Gang George Yin:
Best-response search algorithms for non-stationary discrete stochastic optimization. CDC 2014: 4191-4196 - [c144]Mustafa Fanaswala, Vikram Krishnamurthy:
Spatio-temporal trajectory models for target tracking. FUSION 2014: 1-8 - [c143]Vikram Krishnamurthy:
POMDP sensor scheduling with adaptive sampling. FUSION 2014: 1-7 - [i13]Vikram Krishnamurthy, Omid Namvar Gharehshiran, Maziyar Hamdi:
Interactive Sensing and Decision Making in Social Networks. CoRR abs/1405.1129 (2014) - [i12]Amir Leshem, Maziyar Hamdi, Vikram Krishnamurthy:
Boundary value problems in consensus networks. CoRR abs/1407.7170 (2014) - [i11]Maziyar Hamdi, Grayden Solman, Alan Kingstone, Vikram Krishnamurthy:
Social Learning in a Human Society: An Experimental Study. CoRR abs/1408.5378 (2014) - [i10]Vikram Krishnamurthy, William Hoiles:
Information Diffusion in Social Sensing. CoRR abs/1412.4171 (2014) - 2013
- [j129]Mustafa Fanaswala, Vikram Krishnamurthy:
Detection of Anomalous Trajectory Patterns in Target Tracking via Stochastic Context-Free Grammars and Reciprocal Process Models. IEEE J. Sel. Top. Signal Process. 7(1): 76-90 (2013) - [j128]Vikram Krishnamurthy, Maziyar Hamdi:
Mis-Information Removal in Social Networks: Constrained Estimation on Dynamic Directed Acyclic Graphs. IEEE J. Sel. Top. Signal Process. 7(2): 333-346 (2013) - [j127]Omid Namvar Gharehshiran, Vikram Krishnamurthy, Gang George Yin:
Distributed Energy-Aware Diffusion Least Mean Squares: Game-Theoretic Learning. IEEE J. Sel. Top. Signal Process. 7(5): 821-836 (2013) - [j126]Vikram Krishnamurthy, H. Vincent Poor:
Social Learning and Bayesian Games in Multiagent Signal Processing: How Do Local and Global Decision Makers Interact? IEEE Signal Process. Mag. 30(3): 43-57 (2013) - [j125]Omid Namvar Gharehshiran, Vikram Krishnamurthy, Gang George Yin:
Distributed Tracking of Correlated Equilibria in Regime Switching Noncooperative Games. IEEE Trans. Autom. Control. 58(10): 2435-2450 (2013) - [j124]Omid Namvar Gharehshiran, Alireza Attar, Vikram Krishnamurthy:
Collaborative Sub-Channel Allocation in Cognitive LTE Femto-Cells: A Cooperative Game-Theoretic Approach. IEEE Trans. Commun. 61(1): 325-334 (2013) - [j123]Vikram Krishnamurthy:
How to Schedule Measurements of a Noisy Markov Chain in Decision Making? IEEE Trans. Inf. Theory 59(7): 4440-4461 (2013) - [c142]Dung T. Nguyen, Vikram Krishnamurthy, Adrian N. Bishop:
A distributed control scheme for triangular formations with Markovian disturbances. CCA 2013: 1183-1187 - [c141]Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg:
Computing monotone policies for Markov decision processes by exploiting sparsity. AuCC 2013: 1-6 - [c140]Mustafa Fanaswala, Vikram Krishnamurthy:
Syntactic track-before-detect. CAMSAP 2013: 41-44 - [c139]Omid Namvar Gharehshiran, Vikram Krishnamurthy, Gang George Yin:
Game-theoretic learning for activation of diffusion least mean squares. EUSIPCO 2013: 1-5 - [c138]Vikram Krishnamurthy:
Social learning and controlled sensing. GlobalSIP 2013: 205-208 - [c137]Omid Namvar Gharehshiran, Vikram Krishnamurthy:
Diffusion based collaborative decision making in noncooperative social network games. GlobalSIP 2013: 567-570 - [c136]Vikram Krishnamurthy, Anup Aryan:
Detecting asset value dislocations in multi-agent models of market microstructure. ICASSP 2013: 8737-8741 - [i9]Maziyar Hamdi, Vikram Krishnamurthy, Gang George Yin:
Tracking the Empirical Distribution of a Markov-modulated Duplication-Deletion Random Graph. CoRR abs/1303.0050 (2013) - [i8]Maziyar Hamdi, Vikram Krishnamurthy:
Removal of Data Incest in Multi-agent Social Learning in Social Networks. CoRR abs/1309.6687 (2013) - [i7]Vikram Krishnamurthy, H. Vincent Poor:
Interactive Sensing in Social Networks. CoRR abs/1312.7630 (2013) - 2012
- [j122]Vikram Krishnamurthy, William Hoiles:
Afriat's Test for Detecting Malicious Agents. IEEE Signal Process. Lett. 19(12): 801-804 (2012) - [j121]Hervé Bourlard, Vikram Krishnamurthy, Yan Lindsay Sun, H. Vicky Zhao, K. J. Ray Liu:
A Technical Revolution: Social Learning and Networking [From the Guest Editors]. IEEE Signal Process. Mag. 29(2): 20-21 (2012) - [j120]Vikram Krishnamurthy:
Quickest Detection POMDPs With Social Learning: Interaction of Local and Global Decision Makers. IEEE Trans. Inf. Theory 58(8): 5563-5587 (2012) - [j119]Vikram Krishnamurthy, Robert R. Bitmead, Michel Gevers, Erik Miehling:
Sequential Detection With Mutual Information Stopping Cost. IEEE Trans. Signal Process. 60(2): 700-714 (2012) - [j118]Kevin Topley, Vikram Krishnamurthy:
Average-Consensus in a Deterministic Framework - Part I: Strong Connectivity. IEEE Trans. Signal Process. 60(12): 6590-6603 (2012) - [j117]Kevin Topley, Vikram Krishnamurthy:
Average-Consensus in a Deterministic Framework - Part II: Central Connectivity. IEEE Trans. Signal Process. 60(12): 6604-6616 (2012) - [c135]Vikram Krishnamurthy:
Optimal sampling control with quickest change detection. Allerton Conference 2012: 350-357 - [c134]Vikram Krishnamurthy, Anup Aryan:
Quickest detection of market shocks in agent based models of the order book. CDC 2012: 1480-1485 - [c133]Omid Namvar Gharehshiran, Vikram Krishnamurthy, Gang George Yin:
Tracking equilibria with Markovian evolution. CDC 2012: 7139-7144 - [c132]Vikram Krishnamurthy, Maziyar Hamdi:
Data fusion and mis-information removal in social networks. FUSION 2012: 1142-1149 - [c131]Omid Namvar Gharehshiran, Vikram Krishnamurthy:
Learning Correlated Equilibria in Noncooperative Games with Cluster Structure. GAMENETS 2012: 115-124 - [c130]Omid Namvar Gharehshiran, Vikram Krishnamurthy:
Tracking correlated equilibria in clustered multi-agent networks via adaptive filtering algorithms. ICASSP 2012: 2041-2044 - [c129]Maziyar Hamdi, Vikram Krishnamurthy:
A novel use of stochastic approximation algorithms for estimating degree of each node in social networks. ICASSP 2012: 3057-3060 - [c128]Maryam Abolfath Beygi, Vikram Krishnamurthy:
Detection of target molecules using surface-based biosensor arrays in fluid flows. ICASSP 2012: 3913-3916 - [c127]Vikram Krishnamurthy:
Quickest time change detection with social learning. ICASSP 2012: 5257-5260 - [c126]Jing Huang, Dan Schonfeld, Vikram Krishnamurthy:
A new context-sensitive grammars learning algorithm and its application in trajectory classification. ICIP 2012: 3093-3096 - [e1]Vikram Krishnamurthy, Qing Zhao, Minyi Huang, Yonggang Wen:
Game Theory for Networks - Third International ICST Conference, GameNets 2012, Vancouver, BC, Canada, May 24-26, 2012, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 105, Springer 2012, ISBN 978-3-642-35581-3 [contents] - [i6]Vikram Krishnamurthy:
When to look at a noisy Markov chain in sequential decision making if measurements are costly? CoRR abs/1208.3291 (2012) - 2011
- [j116]Alireza Attar, Vikram Krishnamurthy, Omid Namvar Gharehshiran:
Interference management using cognitive base-stations for UMTS LTE. IEEE Commun. Mag. 49(8): 152-159 (2011) - [j115]Vikram Krishnamurthy:
Decentralized activation in sensor networks - global games and adaptive filtering games. Digit. Signal Process. 21(5): 638-647 (2011) - [j114]Vikram Krishnamurthy, Mustafa Fanaswala:
Intent inference via syntactic tracking. Digit. Signal Process. 21(5): 648-659 (2011) - [j113]Vikram Krishnamurthy:
Networks of Biosensors: Decentralized Activation and Social Learning. Eur. J. Control 17(5-6): 526-546 (2011) - [j112]Abdelhak M. Zoubir, Vikram Krishnamurthy, Ali H. Sayed:
Signal Processing Theory and Methods [In the Spotlight]. IEEE Signal Process. Mag. 28(5): 152-156 (2011) - [j111]Farhad Ghassemi, Vikram Krishnamurthy:
Separable Approximation for Solving the Sensor Subset Selection Problem. IEEE Trans. Aerosp. Electron. Syst. 47(1): 557-568 (2011) - [j110]Alex Wang, Vikram Krishnamurthy, Bhashyam Balaji:
Intent Inference and Syntactic Tracking with GMTI Measurements. IEEE Trans. Aerosp. Electron. Syst. 47(4): 2824-2843 (2011) - [j109]Vikram Krishnamurthy, Kai Yiu Luk:
Semi-Markov Models for Brownian Dynamics Permeation in Biological Ion Channels. IEEE ACM Trans. Comput. Biol. Bioinform. 8(1): 273-281 (2011) - [j108]Alireza Attar, Vikram Krishnamurthy:
Interference Diversity Gain and its Application in Multi-Channel Systems: Capacity Maximization and QoS Guarantee Strategies. IEEE Trans. Commun. 59(1): 248-257 (2011) - [j107]Jane Wei Huang, Vikram Krishnamurthy:
Cognitive Base Stations in LTE/3GPP Femtocells: A Correlated Equilibrium Game-Theoretic Approach. IEEE Trans. Commun. 59(12): 3485-3493 (2011) - [j106]Vikram Krishnamurthy:
Bayesian Sequential Detection With Phase-Distributed Change Time and Nonlinear Penalty - A POMDP Lattice Programming Approach. IEEE Trans. Inf. Theory 57(10): 7096-7124 (2011) - [j105]Hassan Mansour, Panos Nasiopoulos, Vikram Krishnamurthy:
Rate and Distortion Modeling of CGS Coded Scalable Video Content. IEEE Trans. Multim. 13(2): 165-180 (2011) - [j104]F. Richard Yu, Bo Sun, Vikram Krishnamurthy, Saqib Ali:
Application layer QoS optimization for multimedia transmission over cognitive radio networks. Wirel. Networks 17(2): 371-383 (2011) - [j103]Laxminarayana S. Pillutla, Vikram Krishnamurthy:
A Price Based Decentralized Rate Selection in IEEE 802.11 Based WLANS. Wirel. Pers. Commun. 56(3): 517-534 (2011) - [c125]Maryam Abolfath Beygi, Vikram Krishnamurthy:
Biosensor arrays for collaborative detection of analytes. ACSCC 2011: 1699-1703 - [c124]Liming Wang, Vikram Krishnamurthy, Dan Schonfeld:
Factor graph-based structural equilibria in dynamical games. ICASSP 2011: 1964-1967 - [c123]Mustafa Fanaswala, Vikram Krishnamurthy, Langford B. White:
Destination-aware target tracking via syntactic signal processing. ICASSP 2011: 3692-3695 - [c122]Maryam Abolfath Beygi, Vikram Krishnamurthy:
Cooperative Maximum Likelihood estimation for fluid flow dynamics in biosensor arrays. ICASSP 2011: 3788-3791 - [c121]Vikram Krishnamurthy, Omid Namvar Gharehshiran, Amir Danak:
Emergence of rationality amongst simple nodes performing adaptive filtering. ICASSP 2011: 5792-5795 - [i5]Alex Wang, Vikram Krishnamurthy, Bhashyam Balaji:
Intent Inference and Syntactic Tracking with GMTI Measurements. CoRR abs/1104.4376 (2011) - [i4]F. Richard Yu, Bo Sun, Vikram Krishnamurthy, Saqib Ali:
QoS Provisioning for Multimedia Transmission in Cognitive Radio Networks. CoRR abs/1104.5534 (2011) - [i3]Kevin Topley, Vikram Krishnamurthy:
Average-Consensus Algorithms in a Deterministic Framework. CoRR abs/1106.4346 (2011) - 2010
- [j102]K. J. Ray Liu, Hervé Bourlard, Vikram Krishnamurthy, Alex Pentland, Stephen B. Wicker:
Introduction to the Special Issue on Signal and Information Processing for Social Networks. IEEE J. Sel. Top. Signal Process. 4(4): 673-676 (2010) - [j101]Jane Wei Huang, Vikram Krishnamurthy:
Transmission control in cognitive radio as a Markovian dynamic game: Structural result on randomized threshold policies. IEEE Trans. Commun. 58(1): 301-310 (2010) - [j100]Minh Hanh Ngo, Vikram Krishnamurthy:
Monotonicity of constrained optimal transmission policies in correlated fading channels with ARQ. IEEE Trans. Signal Process. 58(1): 438-451 (2010) - [j99]Jane Wei Huang, Hassan Mansour, Vikram Krishnamurthy:
A dynamical games approach to transmission-rate adaptation in multimedia WLAN. IEEE Trans. Signal Process. 58(7): 3635-3646 (2010) - [j98]Omid Namvar Gharehshiran, Vikram Krishnamurthy:
Coalition formation for bearings-only localization in sensor networks: a cooperative game approach. IEEE Trans. Signal Process. 58(8): 4322-4338 (2010) - [c120]Vikram Krishnamurthy:
Quickest time detection and constrained optimal social learning with variance penalty. CDC 2010: 1102-1107 - [c119]Sahar M. Monfared, Vikram Krishnamurthy, Bruce Cornell:
Chemical kinetics and mass transport in an ion channel based biosensor. CDC 2010: 4685-4690 - [c118]Vikram Krishnamurthy:
Decentralized spectrum access via multivariate global games. CIP 2010: 464-469 - [c117]Jane W. Huang, Quanyan Zhu, Vikram Krishnamurthy, Tamer Basar:
Distributed correlated Q-learning for dynamic transmission control of sensor networks. ICASSP 2010: 1982-1985 - [c116]Omid Namvar Gharehshiran, Vikram Krishnamurthy:
On prolonging life-time in wireless sensor networks with application in localization: A coalitional game-theoretic approach. ICASSP 2010: 2874-2877 - [c115]Omid Namvar Gharehshiran, Alireza Attar, Vikram Krishnamurthy:
Dynamic Coalition Formation for Resource Allocation in Cognitive Radio Networks. ICC 2010: 1-6 - [i2]Vikram Krishnamurthy:
Quickest Time Detection with Phase-Type Change Distribution and Social Learning. CoRR abs/1007.0571 (2010) - [i1]Vikram Krishnamurthy:
Bayesian Quickest Detection with Phase-Distributed Change Time and Nonlinear Penalty -- A Lattice Programming Approach. CoRR abs/1011.5298 (2010)
2000 – 2009
- 2009
- [j97]Teerawat Issariyakul, Laxminarayana S. Pillutla, Vikram Krishnamurthy:
Tuning radio resource in an overlay cognitive radio network for TCP: Greed isn't good. IEEE Commun. Mag. 47(7): 57-63 (2009) - [j96]Jane W. Huang, Vikram Krishnamurthy:
Game Theoretic Issues in Cognitive Radio Systems (Invited Paper). J. Commun. 4(10): 790-802 (2009) - [j95]Vikram Krishnamurthy, Kevin Topley, Gang George Yin:
Consensus Formation in a Two-Time-Scale Markovian System. Multiscale Model. Simul. 7(4): 1898-1927 (2009) - [j94]Vikram Krishnamurthy, Bo Wahlberg:
Partially Observed Markov Decision Process Multiarmed Bandits - Structural Results. Math. Oper. Res. 34(2): 287-302 (2009) - [j93]Gang George Yin, Cristina Ion, Vikram Krishnamurthy:
How does a stochastic optimization/approximation algorithm adapt to a randomly evolving optimum/root with jump Markov sample paths. Math. Program. 120(1): 67-99 (2009) - [j92]Michael Maskery, Vikram Krishnamurthy, Qing Zhao:
Decentralized dynamic spectrum access for cognitive radios: cooperative design of a non-cooperative game. IEEE Trans. Commun. 57(2): 459-469 (2009) - [j91]Arsalan Farrokh, Vikram Krishnamurthy, Robert Schober:
Optimal adaptive modulation and coding with switching costs. IEEE Trans. Commun. 57(3): 697-706 (2009) - [j90]Minh Hanh Ngo, Vikram Krishnamurthy:
Optimality of threshold policies for transmission scheduling in correlated fading channels. IEEE Trans. Commun. 57(8): 2474-2483 (2009) - [j89]Hussein Mansour, Yaser P. Fallah, Panos Nasiopoulos, Vikram Krishnamurthy:
Dynamic Resource Allocation for MGS H.264/AVC Video Transmission Over Link-Adaptive Networks. IEEE Trans. Multim. 11(8): 1478-1491 (2009) - [j88]Teerawat Issariyakul, Vikram Krishnamurthy:
Amplify-and-forward cooperative diversity wireless networks: model, analysis, and monotonicity properties. IEEE/ACM Trans. Netw. 17(1): 225-238 (2009) - [j87]Vikram Krishnamurthy, Dejan V. Djonin:
Optimal threshold policies for multivariate POMDPs in radar resource management. IEEE Trans. Signal Process. 57(10): 3954-3969 (2009) - [j86]Vikram Krishnamurthy:
Decentralized spectrum access amongstcognitive radios: an interacting multivariate global game-theoretic approach. IEEE Trans. Signal Process. 57(10): 3999-4013 (2009) - [c114]Hassan Mansour, Jane W. Huang, Vikram Krishnamurthy:
Multi-user scalable video transmission control in cognitive radio networks as a Markovian dynamic game. CDC 2009: 4735-4740 - [c113]Sahar M. Monfared, Vikram Krishnamurthy, Bruce Cornell:
Reconfigurable ion-channel based biosensor: Input excitation design and analyte classification. CDC 2009: 7698-7703 - [c112]Farhad Ghassemi, Vikram Krishnamurthy:
Symmetric probabilistic values for identifying informative sensors. CDC 2009: 8555-8560 - [c111]Vikram Krishnamurthy:
Optimal Threshold Policies for Multivariate Stopping-Time POMDPs. ECSQARU 2009: 850-862 - [c110]Farhad Ghassemi, Vikram Krishnamurthy:
Upper bounds for the sensor subset selection problem. FUSION 2009: 110-117 - [c109]Kevin Topley, Vikram Krishnamurthy, Gang George Yin:
Average-consensus with switched Markovian network links. FUSION 2009: 388-395 - [c108]Omid Namvar Gharehshiran, Vikram Krishnamurthy:
Dynamic coalition formation for efficient sleep time allocation in wireless sensor networks using cooperative game theory. FUSION 2009: 672-677 - [c107]Alex Wang, Vikram Krishnamurthy, José Araujo:
Syntactic inference for highway traffic analysis. FUSION 2009: 1355-1362 - [c106]Alex Wang, Vikram Krishnamurthy, Bhashyam Balaji:
Meta level tracking with multimode space-time adaptive processing of GMTI data. FUSION 2009: 2169-2176 - [c105]Sahar M. Monfared, Vikram Krishnamurthy, Bruce Cornell:
Stochastic modeling and signal processing of nano-scale protein-based biosensors. GENSiPS 2009: 1-6 - [c104]Alireza Attar, Vikram Krishnamurthy:
Exploiting the Interference Diversity Gain in Frequency Domain: The UMTS LTE Scenario. GLOBECOM 2009: 1-6 - [c103]Kevin Topley, Vikram Krishnamurthy, Gang George Yin:
Consensus-tracking in distributed networks by one-hop averaging. ICASSP 2009: 2065-2068 - [c102]Alex Wang, Vikram Krishnamurthy:
Target Identification and Distributed Cooperative Control of Sensor Networks. ICC 2009: 1-5 - [c101]Hassan Mansour, Yaser Pourmohammadi Fallah, Panos Nasiopoulos, Vikram Krishnamurthy:
Combined link adaptation and traffic control scheme for MGS H.264/AVC video transmission. DPS 2009: 1-6 - [c100]May Siksik, Vikram Krishnamurthy:
Stochastic multi-particle Brownian Dynamics simulation of biological ion channels: A Finite Element approach. IPDPS 2009: 1-6 - 2008
- [j85]Alex Wang, Vikram Krishnamurthy:
Mobility Enhanced Smart Antenna Adaptive Sectoring for Uplink Capacity Maximization in CDMA Cellular Network. IEEE Trans. Commun. 56(5): 743-753 (2008) - [j84]Hassan Mansour, Vikram Krishnamurthy, Panos Nasiopoulos:
Channel Aware Multiuser Scalable Video Streaming Over Lossy Under-Provisioned Channels: Modeling and Analysis. IEEE Trans. Multim. 10(7): 1366-1381 (2008) - [j83]Alex Wang, Vikram Krishnamurthy:
Signal Interpretation of Multifunction Radars: Modeling and Statistical Signal Processing With Stochastic Context Free Grammar. IEEE Trans. Signal Process. 56(3): 1106-1119 (2008) - [j82]Minh Hanh Ngo, Vikram Krishnamurthy, Lang Tong:
Optimal Channel-Aware ALOHA Protocol for Random Access in WLANs With Multipacket Reception and Decentralized Channel State Information. IEEE Trans. Signal Process. 56(6): 2575-2588 (2008) - [j81]Vikram Krishnamurthy, Michael Maskery, Gang George Yin:
Decentralized Adaptive Filtering Algorithms for Sensor Activation in an Unattended Ground Sensor Network. IEEE Trans. Signal Process. 56(12): 6086-6101 (2008) - [j80]Fei Richard Yu, Vikram Krishnamurthy:
Cross-layer radio resource allocation in packet CDMA wireless mobile networks. Wirel. Networks 14(2): 183-198 (2008) - [c99]Kevin Topley, Vikram Krishnamurthy, Gang George Yin:
Consensus formation in a switched Markovian dynamical system. CDC 2008: 3547-3552 - [c98]Jane W. Huang, Vikram Krishnamurthy:
Transmission control in cognitive radio systems with latency constraints as a switching control dynamic game. CDC 2008: 3823-3828 - [c97]Farhad Ghassemi, Vikram Krishnamurthy:
A cooperative game-theoretic measurement allocation algorithm for localization in unattended ground sensor networks. FUSION 2008: 1-7 - [c96]Jane W. Huang, Vikram Krishnamurthy:
Rate Adaptation for Cognitive Radio Systems with Latency Constraints. GLOBECOM 2008: 3024-3028 - [c95]Laxminarayana S. Pillutla, Vikram Krishnamurthy:
Game Theoretic Rate Adaptation for Spectrum-Overlay Cognitive Radio Networks. GLOBECOM 2008: 4523-4527 - [c94]Hassan Mansour, Panos Nasiopoulos, Vikram Krishnamurthy:
Joint media-channel aware unequal error protection for wireless scalable video streaming. ICASSP 2008: 1129-1132 - [c93]Alex Wang, Vikram Krishnamurthy:
Particle Filtering for Mobility Enhanced Adaptive Sectoring for CDMA Uplink Capacity Maximization. ICC 2008: 876-880 - [c92]Arsalan Farrokh, Vikram Krishnamurthy, Robert Schober:
Optimal Power and Retransmission Control Policies over Fading Channels with Packet Drop Penalty Costs. ICC 2008: 4021-4027 - [c91]Laxminarayana S. Pillutla, Vikram Krishnamurthy:
Mutual Information and Energy Tradeoff in Correlated Wireless Sensor Networks. ICC 2008: 4402-4406 - [c90]Hassan Mansour, Vikram Krishnamurthy, Panos Nasiopoulos:
Rate and distortion modeling of medium grain scalable video coding. ICIP 2008: 2564-2567 - [c89]Hassan Mansour, Panos Nasiopoulos, Vikram Krishnamurthy:
Real-time joint rate and protection allocation for multi-user scalable video streaming. PIMRC 2008: 1-5 - 2007
- [j79]In Sock Jang, Xiaodong Wang, Vikram Krishnamurthy:
Discrete stochastic approximation algorithms for design of optimal sensor fusion rules. Int. J. Sens. Networks 2(3/4): 211-217 (2007) - [j78]Vikram Krishnamurthy, Shin-Ho Chung:
Large-Scale Dynamical Models and Estimation for Permeation in Biological Membrane Ion Channels. Proc. IEEE 95(5): 853-880 (2007) - [j77]Nikita Visnevski, Vikram Krishnamurthy, Alex Wang, Simon Haykin:
Syntactic Modeling and Signal Processing of Multifunction Radars: A Stochastic Context-Free Grammar Approach. Proc. IEEE 95(5): 1000-1025 (2007) - [j76]Fei Richard Yu, Vikram Krishnamurthy:
Optimal Joint Session Admission Control in Integrated WLAN and CDMA Cellular Networks with Vertical Handoff. IEEE Trans. Mob. Comput. 6(1): 126-139 (2007) - [j75]Syed Hussain Ali, Vikram Krishnamurthy, Victor C. M. Leung:
Optimal and Approximate Mobility-Assisted Opportunistic Scheduling in Cellular Networks. IEEE Trans. Mob. Comput. 6(6): 633-648 (2007) - [j74]Minh Hanh Ngo, Vikram Krishnamurthy:
Game Theoretic Cross-Layer Transmission Policies in Multipacket Reception Wireless Networks. IEEE Trans. Signal Process. 55(5-1): 1911-1926 (2007) - [j73]Dejan V. Djonin, Vikram Krishnamurthy:
Q-Learning Algorithms for Constrained Markov Decision Processes With Randomized Monotone Policies: Application to MIMO Transmission Control. IEEE Trans. Signal Process. 55(5-2): 2170-2181 (2007) - [j72]Yunxia Chen, Qing Zhao, Vikram Krishnamurthy, Dejan V. Djonin:
Transmission Scheduling for Optimizing Sensor Network Lifetime: A Stochastic Shortest Path Approach. IEEE Trans. Signal Process. 55(5-2): 2294-2309 (2007) - [j71]Vikram Krishnamurthy, Dejan V. Djonin:
Structured Threshold Policies for Dynamic Sensor Scheduling - A Partially Observed Markov Decision Process Approach. IEEE Trans. Signal Process. 55(10): 4938-4957 (2007) - [j70]Dejan V. Djonin, Vikram Krishnamurthy:
MIMO Transmission Control in Fading Channels - A Constrained Markov Decision Process Formulation With Monotone Randomized Policies. IEEE Trans. Signal Process. 55(10): 5069-5083 (2007) - [c88]Michael Maskery, Vikram Krishnamurthy:
Decentralized adaptation in sensor networks: Analysis and application of regret-based algorithms. CDC 2007: 951-956 - [c87]Arsalan Farrokh, Vikram Krishnamurthy:
Optimality of Monotone Policies for Transmission Control with Switching Costs. CDC 2007: 5222-5227 - [c86]F. Richard Yu, Vikram Krishnamurthy:
Cross-Layer QoS Support for Packet Multimedia in Wireless Networks. GLOBECOM 2007: 5314-5318 - [c85]Thomas Bréhard, Vikram Krishnamurthy:
Optimal Data Incest Removal in Bayesian Decentralized Estimation Over a Sensor Network. ICASSP (3) 2007: 173-176 - [c84]Vikram Krishnamurthy, Kai Yiu Luk, Bruce Cornell, Don Martin:
Real-Time Molecular Detectors using Gramicidin Ion Channel Nano-Biosensors. ICASSP (1) 2007: 401-404 - [c83]Minh Hanh Ngo, Vikram Krishnamurthy:
On Optimality of Monotone Channel-Aware Transmission Policies: A Constrained Markov Decision Process Approach. ICASSP (3) 2007: 621-624 - [c82]Alex Wang, Vikram Krishnamurthy:
Threat Estimation of Multifunction Radars: Modeling and Statistical Signal Processing of Stochastic Context Free Grammars. ICASSP (3) 2007: 793-796 - [c81]Laxminarayana S. Pillutla, Vikram Krishnamurthy:
Minimum Energy Data Gathering in Correlated Sensor Networks with Cooperative Transmission. ICC 2007: 3623-3628 - [c80]Michael Maskery, Vikram Krishnamurthy:
Decentralized Activation in a ZigBee-enabled Unattended Ground Sensor Network: A Correlated Equilibrium Game Theoretic Analysis. ICC 2007: 3915-3920 - [c79]Arsalan Farrokh, Vikram Krishnamurthy, Robert Schober:
Optimal Adaptive Modulation and Coding with Switching Costs. ICC 2007: 4817-4823 - [c78]Dejan V. Djonin, Qing Zhao, Vikram Krishnamurthy:
Optimality and Complexity of Opportunistic Spectrum Access: A Truncated Markov Decision Process Formulation. ICC 2007: 5787-5792 - [c77]Hussein Mansour, Vikram Krishnamurthy, Panos Nasiopoulos:
Channel Adaptive Multi-User Scalable Video Streaming with Unequal Erasure Protection. WIAMIS 2007: 54 - 2006
- [j69]Arsalan Farrokh, Vikram Krishnamurthy:
Opportunistic Scheduling for Streaming Multimedia Users in High-Speed Downlink Packet Access (HSDPA). IEEE Trans. Multim. 8(4): 844-855 (2006) - [j68]Fei Richard Yu, Vikram Krishnamurthy, Victor C. M. Leung:
Cross-Layer optimal connection admission control for variable bit rate multimedia traffic in packet wireless CDMA networks. IEEE Trans. Signal Process. 54(2): 542-555 (2006) - [j67]Xiaodong Wang, Vikram Krishnamurthy, Jibing Wang:
Stochastic gradient algorithms for design of minimum error-rate linear dispersion codes in MIMO wireless systems. IEEE Trans. Signal Process. 54(4): 1242-1255 (2006) - [j66]Leigh A. Johnston, Vikram Krishnamurthy:
Opportunistic file transfer over a fading channel: A POMDP search theory formulation with optimal threshold policies. IEEE Trans. Wirel. Commun. 5(2): 394-405 (2006) - [j65]Fei Richard Yu, Vikram Krishnamurthy:
Effective bandwidth of multimedia traffic in packet wireless CDMA networks with LMMSE receivers: a cross-layer perspective. IEEE Trans. Wirel. Commun. 5(3): 525-530 (2006) - [c76]Vikram Krishnamurthy, George Yin, Michael Maskery:
Stochastic Approximation Based Tracking of Correlated Equilibria for Game-Theoretic Reconfigurable Sensor Network Deployment. CDC 2006: 2051-2056 - [c75]Alex Wang, Vikram Krishnamurthy, Fred A. Dilkes, Nikita A. Visnevski:
Threat Estimation by Electronic Surveillance of Multifunction Radars: A Stochastic Context Free Grammar Approach. CDC 2006: 2153-2158 - [c74]Farnoush Mirmoeini, Vikram Krishnamurthy:
An Adaptive Situation Assessment Based Decision Making System. FUSION 2006: 1-8 - [c73]Dejan V. Djonin, Vikram Krishnamurthy:
Adaptive Learning of Transmission Control Policies for MIMO Fading Channels under Delay Constraint. GLOBECOM 2006 - [c72]Farshad Eshghi, Vikram Krishnamurthy:
A QoS-Based MAC Protocol for Ad Hoc WLANs. GLOBECOM 2006 - [c71]Minh Hanh Ngo, Vikram Krishnamurthy:
On the Optimality of Threshold Scheduling Policies for Video Transmission in Markovian Fading Wireless Channels with Channel-Aware ARQ. GLOBECOM 2006 - [c70]Yunxia Chen, Qing Zhao, Vikram Krishnamurthy, Dejan V. Djonin:
Transmission Scheduling for Sensor Network Lifetime Maximization: A Shortest Path Bandit Formulation. ICASSP (4) 2006: 145-148 - [c69]Alex Wang, Vikram Krishnamurthy:
Mobility Enhanced Smart Antenna Adaptive Sectoring for Uplink Capacity Maximization in Cdma Cellular Network. ICASSP (4) 2006: 253-256 - [c68]Anup Misra, Vikram Krishnamurthy, Robert Schober:
Stochastic Learning Algorithms for Adaptive Modulation. ICASSP (4) 2006: 781-784 - [c67]Michael Maskery, Vikram Krishnamurthy:
Decentralized Management of Sensors in a Multi-Attribute Environment Under Weak Network Congestion. ICASSP (4) 2006: 973-976 - [c66]Arsalan Farrokh, Vikram Krishnamurthy:
Optimal Threshold Policies for Hard-Kill of Enemy Radars With High Speed Anti-Radiation Missiles (HARMS). ICASSP (3) 2006: 1108-1111 - [c65]Farhad Ghassemi, Vikram Krishnamurthy:
A Stochastic Search Approach for UAV Trajectory Planning In Localization Problems. ICASSP (3) 2006: 1196-1199 - [c64]Minh Hanh Ngo, Vikram Krishnamurthy:
Non-Cooperative Transmission Game in Wireless Networks with Multipacket Reception and Packet Priority. ICC 2006: 4351-4356 - [c63]Teerawat Issariyakul, Dusit Niyato, Ekram Hossain, Vikram Krishnamurthy:
Packet-Level Performance Statistics in a Wireless Network Using Amplify-and-Forward Cooperative Diversity. ICC 2006: 4554-4559 - [c62]Syed Hussain Ali, Vikram Krishnamurthy, Victor C. M. Leung:
Optimal and Approximate Mobility Assisted Opportunistic Scheduling in Cellular Data Networks. ICC 2006: 5222-5227 - [c61]Dejan V. Djonin, Vikram Krishnamurthy:
V-BLAST Power and Rate Control under Delay Constraints in Markovian Fading Channels - Optimality of Monotonic Policies. ISIT 2006: 2099-2103 - [p1]E. V. Krishnamurthy, Vikram Krishnamurthy:
Multiset Rule-Based Programming Paradigm for Soft-Computing in Complex Systems. Handbook of Nature-Inspired and Innovative Computing 2006: 77-109 - 2005
- [j64]Gang George Yin, Vikram Krishnamurthy:
Least mean square algorithms with Markov regime-switching limit. IEEE Trans. Autom. Control. 50(5): 577-593 (2005) - [j63]Fei Richard Yu, Vikram Krishnamurthy:
Efficient Radio Resource Management in Integrated WLAN/CDMA Mobile Networks. Telecommun. Syst. 30(1-3): 177-192 (2005) - [j62]Gang George Yin, Vikram Krishnamurthy:
LMS algorithms for tracking slow Markov chains with applications to hidden Markov estimation and adaptive multiuser detection. IEEE Trans. Inf. Theory 51(7): 2475-2490 (2005) - [j61]Thanh Ngoc Bui, Vikram Krishnamurthy, H. Vincent Poor:
Online Bayesian activity detection in DS/CDMA networks. IEEE Trans. Signal Process. 53(1): 371-375 (2005) - [j60]Vikram Krishnamurthy, Chandranath R. N. Athaudage, Dawei Huang:
Adaptive OFDM synchronization algorithms based on discrete stochastic approximation. IEEE Trans. Signal Process. 53(4): 1561-1574 (2005) - [j59]Robin J. Evans, Vikram Krishnamurthy, Girish N. Nair, Len Sciacca:
Networked sensor management and data rate control for tracking maneuvering targets. IEEE Trans. Signal Process. 53(6): 1979-1991 (2005) - [j58]Inaki Berenguer, Xiaodong Wang, Vikram Krishnamurthy:
Adaptive MIMO antenna selection via discrete stochastic optimization. IEEE Trans. Signal Process. 53(11): 4315-4329 (2005) - [c60]Dejan V. Djonin, Vikram Krishnamurthy:
Structural Results on the Optimal Transmission Scheduling Policies and Costs for Correlated Sources and Channels. CDC/ECC 2005: 3231-3236 - [c59]Arsalan Farrokh, Vikram Krishnamurthy:
Optimal Threshold Policies for Operation of a Dedicated-Platform with Imperfect State Information - A POMDP Framework. ECSQARU 2005: 198-208 - [c58]Nikita Visnevski, Simon Haykin, Vikram Krishnamurthy, Fred A. Dilkes, Pierre Lavoie:
Hidden Markov models for radar pulse train analysis in electronic warfare. ICASSP (5) 2005: 597-600 - [c57]Vikram Krishnamurthy, Minh Hanh Ngo:
A game theoretical approach for transmission strategies in slotted ALOHA networks with multi-packet reception. ICASSP (3) 2005: 653-656 - [c56]Minh Hanh Ngo, Vikram Krishnamurthy:
On optimal transmission algorithms for slotted ALOHA sensor networks with multi-packet reception. ICASSP (3) 2005: 669-672 - [c55]Vikram Krishnamurthy:
POMDP multi-armed bandit formulation for energy minimization in sensor networks. ICASSP (5) 2005: 793-796 - [c54]Vikram Krishnamurthy, Shin-Ho Chung:
Adaptive controlled Brownian dynamics approach for permeation in bio-nanotubes. ICASSP (5) 2005: 929-932 - [c53]Fei Richard Yu, Vikram Krishnamurthy:
Cross-layer effective bandwidth-based radio resource management in CDMA networks with LMMSE receivers. ICC 2005: 2786-2790 - [c52]Fei Richard Yu, Vikram Krishnamurthy:
Cross-layer QoS provisioning in packet wireless CDMA networks. ICC 2005: 3354-3358 - [c51]Fei Richard Yu, Vikram Krishnamurthy:
Efficient Radio Resource Management in Integrated WLAN/CDMA Mobile Networks. ICN (2) 2005: 912-919 - [c50]Fei Richard Yu, Vikram Krishnamurthy:
Cross-Layer Radio Resource Allocation in Packet CDMA Wireless Mobile Networks with LMMSE Receivers. NETWORKING 2005: 1243-1254 - 2004
- [j57]Gang George Yin, Vikram Krishnamurthy, Cristina Ion:
Regime Switching Stochastic Approximation Algorithms with Application to Adaptive Discrete Stochastic Optimization. SIAM J. Optim. 14(4): 1187-1215 (2004) - [j56]Vikram Krishnamurthy, X. Wang, Gang George Yin:
Spreading Code Optimization and Adaptation in CDMA Via Discrete Stochastic Approximation. IEEE Trans. Inf. Theory 50(9): 1927-1949 (2004) - [c49]Minyi Huang, Vikram Krishnamurthy:
Risk-sensitive quickest time detection. CDC 2004: 1748-1753 - [c48]Vikram Krishnamurthy, George Yin:
Least mean square algorithms with switched Markov ODE limit. CDC 2004: 4134-4139 - [c47]E. V. Krishnamurthy, Venu K. Murthy, Vikram Krishnamurthy:
Biologically inspired rule-based multiset programming paradigm for soft-computing. Conf. Computing Frontiers 2004: 140-149 - [c46]Fei Richard Yu, Vikram Krishnamurthy, Victor C. M. Leung:
Cross-layer optimal connection admission control for variable bit rate multimedia traffic in packet wireless CDMA networks. GLOBECOM 2004: 3347-3351 - [c45]Arsalan Farrokh, Vikram Krishnamurthy:
Opportunistic scheduling for streaming users in high-speed downlink packet access (HSDPA). GLOBECOM 2004: 4043-4047 - [c44]Vikram Krishnamurthy, Shin-Ho Chung:
Adaptive discrete stochastic optimization algorithm for learning Nernst potential in nerve cell membrane ion channels. ICASSP (5) 2004: 593-596 - [c43]Chandranath R. N. Athaudage, Vikram Krishnamurthy:
Adaptive symbol tracking using discrete stochastic approximation for wireless OFDM systems. ICC 2004: 2457-2463 - [c42]Arsalan Farrokh, Florian Blömer, Vikram Krishnamurthy:
A Comparison of Opportunistic Scheduling Algorithms for Streaming Media in High-Speed Downlink Packet Access (HSDPA). MIPS 2004: 130-142 - [c41]E. V. Krishnamurthy, Vikram Krishnamurthy:
Simulating Complex Dynamical Systems in a Distributed Programming Environment. NPC 2004: 272-279 - 2003
- [j55]Charalambos D. Charalambous, Robert J. Elliott, Vikram Krishnamurthy:
Conditional Moment Generating Functions for Integrals and Stochastic Integrals. SIAM J. Control. Optim. 42(5): 1578-1603 (2003) - [j54]Sumeetpal S. Singh, Vikram Krishnamurthy:
The optimal search for a Markovian target when the search path is constrained: the infinite-horizon case. IEEE Trans. Autom. Control. 48(3): 493-497 (2003) - [j53]Gang George Yin, Vikram Krishnamurthy, Cristina Ion:
Iterate-averaging sign algorithms for adaptive filtering with applications to blind multiuser detection. IEEE Trans. Inf. Theory 49(3): 657-671 (2003) - [j52]Vikram Krishnamurthy, Robin J. Evans:
Correction to "Hidden Markov model multiarm bandits: a methodology for beam scheduling in multitarget tracking". IEEE Trans. Signal Process. 51(6): 1662-1663 (2003) - [j51]Stefano Buzzi, Vikram Krishnamurthy, Marco Lops, H. Vincent Poor:
Blind Multiuser Detection in Multirate CDMA Based on Cyclic LMS Adaptation. Wirel. Pers. Commun. 27(4): 293-320 (2003) - [c40]Vikram Krishnamurthy, Xiaodong Wang, George Yin:
Adaptive discrete stochastic approximation algorithms for spreading code optimization in DS/CDMA. CDC 2003: 86-91 - [c39]Felisa J. Vázquez-Abad, Vikram Krishnamurthy:
Policy gradient stochastic approximation algorithms for adaptive control of constrained time varying Markov decision processes. CDC 2003: 2823-2828 - [c38]Vikram Krishnamurthy, Katerine Martin, Felisa Vasquez Abad:
Implementation of gradient estimation to a constrained Markov decision problem. CDC 2003: 4841-4846 - [c37]Nikita Visnevski, Vikram Krishnamurthy, Simon Haykin, Brian W. Currie, Fred A. Dilkes, Pierre Lavoie:
Multi-function radar emitter modelling: a stochastic discrete event system approach. CDC 2003: 6295-6300 - [c36]Thanh Ngoc Bui, Vikram Krishnamurthy, H. Vincent Poor:
Admission control based activity detection in DS/CDMA mobile systems. ICASSP (4) 2003: 153-156 - [c35]Samuel McLaughlin, Vikram Krishnamurthy, Subhash Challa:
Managing data incest in a distributed sensor network. ICASSP (5) 2003: 269-272 - [c34]Leigh A. Johnston, Vikram Krishnamurthy:
Optimality of threshold transmission policies in Gilbert Elliott fading channels. ICC 2003: 1233-1237 - [c33]Vikram Krishnamurthy, Xiaodong Wang, Gang George Yin:
Adaptive spreading code optimization in multiantenna multipath fading channels in CDMA. ICC 2003: 2445-2449 - 2002
- [j50]Andrew Logothetis, Vikram Krishnamurthy, Jan Holst:
A Bayesian EM algorithm for optimal tracking of a maneuvering target in clutter. Signal Process. 82(3): 473-490 (2002) - [j49]Thanh Ngoc Bui, Vikram Krishnamurthy, Robin J. Evans:
Detection-aided recursive least squares adaptive multiuser detection in DS/CDMA. IEEE Signal Process. Lett. 9(8): 229-232 (2002) - [j48]Vikram Krishnamurthy, Robert J. Elliott:
Robust continuous-time smoothers without two-sided stochastic integrals. IEEE Trans. Autom. Control. 47(11): 1824-1841 (2002) - [j47]Vikram Krishnamurthy, Gang George Yin:
Recursive algorithms for estimation of hidden Markov models and autoregressive models with Markov regime. IEEE Trans. Inf. Theory 48(2): 458-476 (2002) - [j46]Vikram Krishnamurthy:
Algorithms for optimal scheduling and management of hidden Markov model sensors. IEEE Trans. Signal Process. 50(6): 1382-1397 (2002) - [j45]Sumeetpal S. Singh, Vikram Krishnamurthy, H. Vincent Poor:
Integrated voice/data call admission control for wireless DS-CDMA systems. IEEE Trans. Signal Process. 50(6): 1483-1495 (2002) - [c32]Vladislav B. Tadic, Vikram Krishnamurthy:
Mean-square asymptotic analysis of cross-coupled Kalman filter state-estimation algorithm for bilinear systems. ACC 2002: 881-886 - [c31]Felisa J. Vázquez-Abad, Vikram Krishnamurthy, Katerine Martin, Irina Baltcheva:
Self learning control of constrained Markov chains - a gradient approach. CDC 2002: 1940-1945 - [c30]Chandranath R. N. Athaudage, Vikram Krishnamurthy:
A low complexity timing and frequency synchronization algorithm for OFDM systems. GLOBECOM 2002: 244-248 - [c29]Sumeetpal S. Singh, Vikram Krishnamurthy:
Optimal call access control for DS-CDMA cellular networks. ICASSP 2002: 2749-2752 - 2001
- [j44]Vikram Krishnamurthy, Gang George Yin, Sumeetpal S. Singh:
Adaptive step-size algorithms for blind interference suppression in DS/CDMA systems. IEEE Trans. Signal Process. 49(1): 190-201 (2001) - [j43]Arnaud Doucet, Neil J. Gordon, Vikram Krishnamurthy:
Particle filters for state estimation of jump Markov linear systems. IEEE Trans. Signal Process. 49(3): 613-624 (2001) - [j42]Leigh A. Johnston, Vikram Krishnamurthy:
Derivation of a sawtooth iterated extended Kalman smoother via the AECM algorithm. IEEE Trans. Signal Process. 49(9): 1899-1909 (2001) - [j41]Vikram Krishnamurthy, Robin J. Evans:
Hidden Markov model multiarm bandits: a methodology for beam scheduling in multitarget tracking. IEEE Trans. Signal Process. 49(12): 2893-2908 (2001) - [j40]Leigh A. Johnston, Vikram Krishnamurthy:
An improvement to the interacting multiple model (IMM) algorithm. IEEE Trans. Signal Process. 49(12): 2909-2923 (2001) - [c28]Sumeetpal S. Singh, Vikram Krishnamurthy:
Partially observed stochastic shortest path problem - application to sequential paging in cellular networks. CDC 2001: 1053-1058 - [c27]George Yin, Vikram Krishnamurthy:
Signed adaptive filtering algorithms with iterate averaging. CDC 2001: 2508-2513 - [c26]Vikram Krishnamurthy, Bo Wahlberg:
Algorithms for scheduling of hidden Markov model sensors. CDC 2001: 4818-4819 - [c25]Sumeetpal S. Singh, Vikram Krishnamurthy, H. Vincent Poor:
Admission control for DS-CDMA systems with fading. GLOBECOM 2001: 705-710 - [c24]Gang George Yin, Vikram Krishnamurthy:
Averaging blind sign algorithms for adaptive multiuser detection. ICASSP 2001: 2301-2304 - [c23]Vikram Krishnamurthy, Bo Wahlberg:
Finite dimensional algorithms for optimal scheduling of hidden Markov model sensors. ICASSP 2001: 3973-3976 - 2000
- [j39]Arnaud Doucet, Andrew Logothetis, Vikram Krishnamurthy:
Stochastic sampling algorithms for state estimation of jump Markov linear systems. IEEE Trans. Autom. Control. 45(2): 188-202 (2000) - [j38]Vikram Krishnamurthy:
Averaged stochastic gradient algorithms for adaptive blind multiuser detection in DS/CDMA systems. IEEE Trans. Commun. 48(1): 125-134 (2000) - [j37]Subhash Challa, Yaakov Bar-Shalom, Vikram Krishnamurthy:
Nonlinear filtering via generalized Edgeworth series and Gauss-Hermite quadrature. IEEE Trans. Signal Process. 48(6): 1816-1820 (2000) - [j36]Kutluyil Dogancay, Vikram Krishnamurthy:
Application of extreme value theory to level estimation in nonlinearly distorted hidden Markov models. IEEE Trans. Signal Process. 48(8): 2289-2299 (2000) - [c22]Vikram Krishnamurthy, Robert J. Elliott:
Robust continuous-time smoothers-without two-sided stochastic integrals. CDC 2000: 286-291 - [c21]Arnaud Doucet, Neil J. Gordon, Vikram Krishnamurthy:
Sequential simulation-based estimation of jump Markov linear systems. CDC 2000: 1166-1171 - [c20]Vikram Krishnamurthy, George Yin:
Analysis of recursive MAP algorithm for state estimation of bilinear systems. CDC 2000: 3799-3800 - [c19]Vikram Krishnamurthy, Sumeetpal S. Singh:
Sequential paging of mobile users in GSM cellular networks-a POMDP approach. GLOBECOM 2000: 182-187 - [c18]Leigh A. Johnston, Vikram Krishnamurthy:
Performance analysis of a track before detect dynamic programming algorithm. ICASSP 2000: 49-52 - [c17]Vikram Krishnamurthy, Sumeetpal S. Singh:
Adaptive forgetting factor recursive least squares for blind interference suppression in DS/CDMA systems. ICASSP 2000: 2469-2472
1990 – 1999
- 1999
- [j35]Jamie S. Evans, Vikram Krishnamurthy:
Optimal filtering of doubly stochastic auto-regressive processes. Autom. 35(2): 241-250 (1999) - [j34]Vikram Krishnamurthy, H. Vincent Poor:
State encoding of Hidden Markov linear prediction models. J. Commun. Networks 1(3): 153-157 (1999) - [j33]Kutluyil Dogançay, Vikram Krishnamurthy:
On fast aggregation of Markov chain functionals using stochastic complementation. Signal Process. 74(3): 223-237 (1999) - [j32]Kutluyil Dogancay, Vikram Krishnamurthy:
Blind identification of fractionally spaced communication channels with Markov inputs. Signal Process. 77(3): 275-288 (1999) - [j31]Leigh A. Johnston, Vikram Krishnamurthy:
Hidden Markov model algorithms for narrowband interference suppression in CDMA spread spectrum systems. Signal Process. 79(3): 315-324 (1999) - [j30]Jamie S. Evans, Vikram Krishnamurthy:
Exact filters for doubly stochastic AR models with conditionally Poisson observations. IEEE Trans. Autom. Control. 44(4): 794-798 (1999) - [j29]Robert J. Elliott, Vikram Krishnamurthy:
New finite-dimensional filters for parameter estimation of discrete-time linear Gaussian models. IEEE Trans. Autom. Control. 44(5): 938-951 (1999) - [j28]Robert J. Elliott, Vikram Krishnamurthy, H. Vincent Poor:
Exact filters for certain moments and stochastic integrals of the state of systems with Benes nonlinearity. IEEE Trans. Autom. Control. 44(10): 1929-1933 (1999) - [j27]Vikram Krishnamurthy, Andrew Logothetis:
Adaptive nonlinear filters for narrow-band interference suppression in spread-spectrum CDMA systems. IEEE Trans. Commun. 47(5): 742-753 (1999) - [j26]Andrew Logothetis, Vikram Krishnamurthy:
Expectation maximization algorithms for MAP estimation of jump Markov linear systems. IEEE Trans. Signal Process. 47(8): 2139-2156 (1999) - [j25]Jamie S. Evans, Vikram Krishnamurthy:
Hidden Markov model state estimation with randomly delayed observations. IEEE Trans. Signal Process. 47(8): 2157-2166 (1999) - [j24]Leigh A. Johnston, Vikram Krishnamurthy:
Finite dimensional smoothers for MAP state estimation of bilinear systems. IEEE Trans. Signal Process. 47(9): 2444-2459 (1999) - [c16]Kutluyil Dogançay, Vikram Krishnamurthy:
Level estimation in nonlinearly distorted hidden Markov models using statistical extremes. ICASSP 1999: 1281-1284 - [c15]Keith S. M. Lee, Michael J. Rowe, Vikram Krishnamurthy:
Pulse train deinterleaving: algorithms and cost criteria. ICASSP 1999: 2475-2478 - [c14]Vikram Krishnamurthy, Josipa Mickova:
Finite dimensional algorithms for the hidden Markov model multi-armed bandit problem. ICASSP 1999: 2865-2868 - 1998
- [j23]Vikram Krishnamurthy, Jamie S. Evans:
Finite-Dimensional Filters for Passive Tracking of Markov Jump Linear Systems. Autom. 34(6): 765-770 (1998) - [j22]Kutluyil Dogancay, Vikram Krishnamurthy:
Blind On-Line Testing for Equalization Errors in Digital Communication Systems. IEEE Trans. Inf. Theory 44(4): 1677-1686 (1998) - [j21]Andrew Logothetis, Vikram Krishnamurthy:
An interval-amplitude algorithm for deinterleaving stochastic pulse train sources. IEEE Trans. Signal Process. 46(5): 1344-1350 (1998) - [j20]Jonathan H. Manton, Vikram Krishnamurthy, H. Vincent Poor:
James-Stein state filtering algorithms. IEEE Trans. Signal Process. 46(9): 2431-2447 (1998) - [c13]Jamie S. Evans, Vikram Krishnamurthy:
Optimal sensor scheduling for Hidden Markov models. ICASSP 1998: 2161-2164 - [c12]Vikram Krishnamurthy, Leigh A. Johnston, Andrew Logothetis:
Optimal MAP estimation of bilinear systems via the EM algorithm. ICASSP 1998: 2373-2376 - [c11]C. Carlemalm, Vikram Krishnamurthy, Kutluyil Dogançay:
Algorithms for blind detection of equalisation errors in hidden Markov model channels. ICC 1998: 324-328 - [c10]Leigh A. Johnston, Vikram Krishnamurthy:
A hidden Markov model-RPE algorithm for narrowband interference suppression in spread spectrum systems. ICC 1998: 733-737 - [c9]Jamie S. Evans, Vikram Krishnamurthy:
Hidden Markov model filtering over packet switched networks. ICC 1998: 1779-1783 - 1997
- [j19]Vikram Krishnamurthy, Robert J. Elliott:
Filters for estimating Markov modulated poisson processes and image-based tracking. Autom. 33(5): 821-833 (1997) - [j18]Andrew Logothetis, Vikram Krishnamurthy, H. Vincent Poor:
Estimation of 1-bit quantized time-series with Markov regime. Signal Process. 58(3): 273-292 (1997) - [j17]Vikram Krishnamurthy, Robert J. Elliott:
Exact finite-dimensional filters for doubly stochastic auto-regressive processes. IEEE Trans. Autom. Control. 42(9): 1289-1293 (1997) - [j16]Gary D. Brushe, Vikram Krishnamurthy, Langford B. White:
A reduced-complexity online state sequence and parameter estimator for superimposed convolutional coded signals. IEEE Trans. Commun. 45(12): 1565-1574 (1997) - [c8]Kutluyil Dogançay, Vikram Krishnamurthy:
Quick aggregation of Markov chain functionals via stochastic complementation. ICASSP 1997: 63-66 - [c7]Kutluyil Dogançay, Vikram Krishnamurthy:
Blind on-line detection of equalisation errors in digital communications. ICASSP 1997: 3873-3876 - [c6]Vikram Krishnamurthy, Kutluyil Dogançay:
Fractionally-spaced blind channel equalisation using hidden Markov models. ICASSP 1997: 3929-3932 - [c5]Robert J. Elliott, Vikram Krishnamurthy, Jonathan H. Manton:
Optimal Estimation of Poisson Rate from Discrete Time Observations. ICC (3) 1997: 1392-1395 - 1996
- [j15]Matthew R. James, Vikram Krishnamurthy, F. Le Gland:
Time discretization of continuous-time filters and smoothers for HMM parameter estimation. IEEE Trans. Inf. Theory 42(2): 593-605 (1996) - [j14]Vikram Krishnamurthy, H. Vincent Poor:
Asymptotic analysis of an algorithm for parameter estimation and identification of 1-b quantized AR time series. IEEE Trans. Signal Process. 44(1): 62-73 (1996) - [j13]Vikram Krishnamurthy, Andrew Logothetis:
Iterative and recursive estimators for hidden Markov errors-in-variables models. IEEE Trans. Signal Process. 44(3): 629-639 (1996) - [c4]Andrew Logothetis, Vikram Krishnamurthy:
De-interleaving of superimposed quantized autoregressive processes. ICASSP 1996: 2994-2997 - [c3]Vikram Krishnamurthy, Robert J. Elliott:
Optimal Filters for Reconstructing. ISSPA 1996: 337-340 - 1995
- [j12]Vikram Krishnamurthy:
Estimation of quantized linear errors-in-variables models. Autom. 31(10): 1459-1464 (1995) - [j11]Vikram Krishnamurthy, Robert J. Elliott:
A filtered EM algorithm for joint hidden Markov model and sinusoidal parameter estimation. IEEE Trans. Signal Process. 43(1): 353-358 (1995) - [j10]Vikram Krishnamurthy, Iven Mareels:
Estimation of noisy quantized Gaussian AR time-series with randomly varying observation coefficient. IEEE Trans. Signal Process. 43(5): 1285-1290 (1995) - [j9]Vikram Krishnamurthy, Subhrakanti Dey, James P. LeBlanc:
Blind equalization of IIR channels using hidden Markov models and extended least squares. IEEE Trans. Signal Process. 43(12): 2994-3006 (1995) - [c2]Vikram Krishnamurthy, H. Vincent Poor:
Asymptotic analysis of an algorithm for identification of quantized AR time-series. ICASSP 1995: 2028-2031 - 1994
- [j8]E. V. Krishnamurthy, Vikram Krishnamurthy:
An ANN Model Perceptron Algorithm Using Generalized Matrix Inversion. Parallel Comput. 20(5): 799-806 (1994) - [j7]Subhrakanti Dey, Vikram Krishnamurthy, Thierry Salmon-Legagneur:
Estimation of Markov-modulated time-series via EM algorithm. IEEE Signal Process. Lett. 1(10): 153-155 (1994) - [j6]Vikram Krishnamurthy:
On-line estimation of dynamic shock-error models based on the Kullback Leibler information measure. IEEE Trans. Autom. Control. 39(5): 1129-1135 (1994) - [j5]John B. Moore, Vikram Krishnamurthy:
Deinterleaving pulse trains using discrete-time stochastic dynamic-linear models. IEEE Trans. Signal Process. 42(11): 3092-3103 (1994) - [j4]Iain B. Collings, Vikram Krishnamurthy, John B. Moore:
On-line identification of hidden Markov models via recursive prediction error techniques. IEEE Trans. Signal Process. 42(12): 3535-3539 (1994) - [c1]Vikram Krishnamurthy:
Adaptive estimation of hidden nearly completely decomposable Markov chains. ICASSP (4) 1994: 337-340 - 1993
- [j3]Vikram Krishnamurthy, John B. Moore, Shin-Ho Chung:
Hidden Markov model signal processing in presence of unknown deterministic interferences. IEEE Trans. Autom. Control. 38(1): 146-152 (1993) - [j2]Vikram Krishnamurthy, John B. Moore:
On-line estimation of hidden Markov model parameters based on the Kullback-Leibler information measure. IEEE Trans. Signal Process. 41(8): 2557-2573 (1993) - 1991
- [j1]Vikram Krishnamurthy, John B. Moore, Shin-Ho Chung:
On hidden fractal model signal processing. Signal Process. 24(2): 177-192 (1991)
Coauthor Index
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