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2020 – today
- 2024
[j43]Kelly Rootes-Murdy
, Sandeep R. Panta, Ross Kelly, Javier Tomas Romero, Yann Quidé, Murray J. Cairns, C. M. Loughland, Vaughan J. Carr, Stanley V. Catts, Assen Jablensky, Melissa J. Green, Frans Henskens, Dylan Kiltschewskij, Patricia T. Michie, Bryan J. Mowry, Christos Pantelis, Paul E. Rasser, William R. Reay, Ulrich Schall, Rodney J. Scott, Oliver J. Watkeys, Gloria M. P. Roberts, Philip B. Mitchell, Janice M. Fullerton, Bronwyn J. Overs, Masataka Kikuchi, Ryota Hashimoto, Junya Matsumoto, Masaki Fukunaga, Perminder S. Sachdev, Henry Brodaty, Wei Wen, Jiyang Jiang, Negar Fani, Timothy D. Ely, Adriana Lorio, Jennifer S. Stevens, Kerry J. Ressler, Tanja Jovanovic, Sanne J. H. van Rooij, Lydia M. Federmann, Christiane Jockwitz, Alexander Teumer, Andreas J. Forstner, Svenja Caspers, Sven Cichon, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC. Patterns 5(7): 100987 (2024)- [c76]Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa:
Low Separation Rank in Tensor Generalized Linear Models: An Asymptotic Analysis. CISS 2024: 1-6 - [c75]Jose Hoyos Sanchez, Batoul Taki, Waheed U. Bajwa, Anand D. Sarwate:
Federated Learning of Tensor Generalized Linear Models with low Separation Rank. ICASSP 2024: 2136-2140 - [c74]Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang:
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models. ICLR 2024 - [c73]Ye Tao, Anand D. Sarwate, Sandeep R. Panta, Sergey M. Plis, Vince D. Calhoun:
Privacy-Preserving Visualization of Brain Functional Network Connectivity. ISBI 2024: 1-5 - [c72]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Y. Zhang:
Computationally Efficient Codes for Strongly Dobrushin-Stambler Nonsymmetrizable Oblivious AVCs. ISIT 2024: 1586-1591 - [d1]Vince D. Calhoun, Sergey M. Plis, Jessica A. Turner, Anand D. Sarwate:
COINSTAC: Decentralizing the future of brain imaging analysis. Zenodo, 2024
- [i55]Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam:
Timely Offloading in Mobile Edge Cloud Systems. CoRR abs/2405.07274 (2024) - [i54]Sinjini Banerjee, Tim Marrinan, Reilly Cannon, Tony Chiang, Anand D. Sarwate:
Measuring model variability using robust non-parametric testing. CoRR abs/2406.08307 (2024) - [i53]Max Vargas, Reilly Cannon, Andrew Engel, Anand D. Sarwate, Tony Chiang:
Understanding Generative AI Content with Embedding Models. CoRR abs/2408.10437 (2024) - [i52]Xin Li, Anand D. Sarwate:
LASERS: LAtent Space Encoding for Representations with Sparsity for Generative Modeling. CoRR abs/2409.11184 (2024) - 2023
- [j42]Rashidul Islam, Kamrun Naher Keya, Shimei Pan, Anand D. Sarwate, James R. Foulds:
Differential Fairness: An Intersectional Framework for Fair AI. Entropy 25(4): 660 (2023) - [j41]Naima Tasnim, Jafar Mohammadi, Anand D. Sarwate, Hafiz Imtiaz:
Approximating Functions with Approximate Privacy for Applications in Signal Estimation and Learning. Entropy 25(5): 825 (2023) - [j40]Dylan Martin, Sunitha Basodi, Sandeep R. Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Tomas Romero, Bradley T. Baker, Harshvardhan Gazula, Henry Jeremy Bockholt, Jessica A. Turner, Nathalia Bianchini Esper, Alexandre R. Franco, Sergey M. Plis, Vince D. Calhoun:
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. Frontiers Neuroinformatics 17 (2023) - [j39]Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kalyanaraman Kumaran, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth J. Barker, Rose Dawn Bharath, Sylvane Desrivières, Meera Purushottam, Dimitri Papadopoulos-Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A. Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Frauke Nees, Tomás Paus, Luise Poustka, Juliane H. Fröhner, Lauren Robinson, Michael N. Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vivek Benegal, Gunter Schumann, Vince D. Calhoun:
Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. Neuroinformatics 21(2): 287-301 (2023) - [j38]Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa:
Structured Low-Rank Tensors for Generalized Linear Models. Trans. Mach. Learn. Res. 2023 (2023) - [c71]Sijie Li, Prasad Krishnan, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Computationally Efficient Codes for Adversarial Binary-Erasure Channels. ISIT 2023: 228-233 - [c70]Zhichao Wang, Andrew Engel, Anand D. Sarwate, Ioana Dumitriu, Tony Chiang:
Spectral Evolution and Invariance in Linear-width Neural Networks. NeurIPS 2023 - [i51]Andrew Engel, Zhichao Wang, Natalie S. Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang:
Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models. CoRR abs/2305.14585 (2023) - [i50]Eric Silk, Swarnita Chakraborty, Nairanjana Dasgupta, Anand D. Sarwate, Andrew Lumsdaine, Tony Chiang:
Minibatching Offers Improved Generalization Performance for Second Order Optimizers. CoRR abs/2307.11684 (2023) - [i49]Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa:
Structured Low-Rank Tensors for Generalized Linear Models. CoRR abs/2308.02922 (2023) - [i48]Sinjini Banerjee, Reilly Cannon, Tim Marrinan, Tony Chiang, Anand D. Sarwate:
Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks. CoRR abs/2310.00541 (2023) - 2022
- [j37]Kelly Rootes-Murdy, Harshvardhan Gazula, Eric Verner, Ross Kelly, Thomas DeRamus, Sergey M. Plis, Anand D. Sarwate, Jessica A. Turner, Vince D. Calhoun:
Federated Analysis of Neuroimaging Data: A Review of the Field. Neuroinformatics 20(2): 377-390 (2022) - [j36]Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Anand D. Sarwate, Sergey M. Plis, Jingyu Liu, Eric Verner, Vince D. Calhoun:
Decentralized Brain Age Estimation Using MRI Data. Neuroinformatics 20(4): 981-990 (2022) - [j35]Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate:
Quadratically Constrained Myopic Adversarial Channels. IEEE Trans. Inf. Theory 68(8): 4901-4948 (2022) - [j34]Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam:
Network Traffic Shaping for Enhancing Privacy in IoT Systems. IEEE/ACM Trans. Netw. 30(3): 1162-1177 (2022) - [c69]Soo Min Kwon, Xin Li, Anand D. Sarwate:
Low-Rank Phase Retrieval with Structured Tensor Models. ICASSP 2022: 3643-3647 - [c68]Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam:
Privacy Leakage in Discrete-Time Updating Systems. ISIT 2022: 2076-2081 - [c67]Yihan Zhang, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
The Capacity of Causal Adversarial Channels. ISIT 2022: 2523-2528 - [c66]Frank Cangialosi, Neil Agarwal, Venkat Arun, Junchen Jiang, Srinivas Narayana, Anand D. Sarwate, Ravi Netravali:
Privid: Practical, Privacy-Preserving Video Analytics Queries. NSDI 2022: 209-228 - [i47]Soo Min Kwon, Xin Li, Anand D. Sarwate:
Low-Rank Phase Retrieval with Structured Tensor Models. CoRR abs/2202.08260 (2022) - [i46]Yihan Zhang, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
The Capacity of Causal Adversarial Channels. CoRR abs/2205.06708 (2022) - [i45]Andrew Engel, Zhichao Wang, Anand D. Sarwate, Sutanay Choudhury, Tony Chiang:
TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models. CoRR abs/2205.12372 (2022) - [i44]Nitya Sathyavageesran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam:
Privacy Leakage in Discrete Time Updating Systems. CoRR abs/2205.15630 (2022) - [i43]Zhichao Wang, Andrew Engel, Anand D. Sarwate, Ioana Dumitriu, Tony Chiang:
Spectral evolution and invariance in linear-width neural networks. CoRR abs/2211.06506 (2022) - 2021
- [j33]Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate:
Predictive Learning on Hidden Tree-Structured Ising Models. J. Mach. Learn. Res. 22: 59:1-59:82 (2021) - [j32]Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Or Sheffet, Anand D. Sarwate:
Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme. IEEE J. Sel. Areas Inf. Theory 2(2): 534-548 (2021) - [j31]Harshvardhan Gazula, Bharath Holla, Zuo Zhang, Jiayuan Xu, Eric Verner, Ross Kelly, Sanjeev Jain, Rose Dawn Bharath, Gareth J. Barker, Debasish Basu, Amit Chakrabarti, Kartik Kalyanram, Kalyanaraman Kumaran, Rajkumar Lenin Singh, Rebecca Kuriyan, Pratima Murthy, Vivek Benega, Sergey M. Plis, Anand D. Sarwate, Jessica A. Turner, Gunter Schumann, Vince D. Calhoun:
Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis. Neuroinformatics 19(4): 553-566 (2021) - [j30]Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate:
Coordination Through Shared Randomness. IEEE Trans. Inf. Theory 67(8): 4948-4974 (2021) - [j29]Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation. IEEE Trans. Signal Process. 69: 6355-6370 (2021) - [c65]Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa:
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. ACSCC 2021: 477-484 - [c64]Aria Rezaei, Jie Gao, Anand D. Sarwate:
Influencers and the Giant Component: The Fundamental Hardness in Privacy Protection for Socially Contagious Attributes. SDM 2021: 217-225 - [i42]Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa:
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. CoRR abs/2105.14673 (2021) - [i41]Frank Cangialosi, Neil Agarwal, Venkat Arun, Junchen Jiang, Srinivas Narayana, Anand D. Sarwate, Ravi Netravali:
Privid: Practical, Privacy-Preserving Video Analytics Queries. CoRR abs/2106.12083 (2021) - [i40]Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam:
Network Traffic Shaping for Enhancing Privacy in IoT Systems. CoRR abs/2111.14992 (2021) - 2020
- [j28]Harshvardhan Gazula, Ross Kelly, Javier Tomas Romero, Eric Verner, Bradley T. Baker, Rogers F. Silva, Hafiz Imtiaz, Debbrata K. Saha, Rajikha Raja, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vince D. Calhoun:
COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation. J. Open Source Softw. 5(54): 2166 (2020) - [j27]Daniel M. Bittner, Alejandro E. Brito, Mohsen Ghassemi, Shantanu Rane, Anand D. Sarwate, Rebecca N. Wright:
Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning. J. Priv. Confidentiality 10(2) (2020) - [j26]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. IEEE Trans. Signal Process. 68: 33-48 (2020) - [c63]Amitalok J. Budkuley, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Carol Wang:
Symmetrizability for Myopic AVCs. ISIT 2020: 2103-2107 - [i39]Dionysios S. Kalogerias, Konstantinos E. Nikolakakis, Anand D. Sarwate, Or Sheffet:
Best-Arm Identification for Quantile Bandits with Privacy. CoRR abs/2006.06792 (2020) - [i38]Aria Rezaei, Jie Gao, Anand D. Sarwate:
Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes. CoRR abs/2012.11877 (2020)
2010 – 2019
- 2019
- [j25]Bradley T. Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D. Sarwate, Vince D. Calhoun, Sergey M. Plis:
Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings. NeuroImage 186: 557-569 (2019) - [j24]Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola:
High Dimensional Inference With Random Maximum A-Posteriori Perturbations. IEEE Trans. Inf. Theory 65(10): 6539-6560 (2019) - [c62]Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate:
Learning Tree Structures from Noisy Data. AISTATS 2019: 1771-1782 - [c61]Hafiz Imtiaz, Anand D. Sarwate:
Distributed Differentially-private Canonical Correlation Analysis. ICASSP 2019: 3112-3116 - [c60]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Carol Wang:
The Interplay of Causality and Myopia in Adversarial Channel Models. ISIT 2019: 1002-1006 - [c59]Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning. ISIT 2019: 2294-2298 - [i37]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. CoRR abs/1903.09284 (2019) - [i36]Hafiz Imtiaz, Jafar Mohammadi, Anand D. Sarwate:
Distributed Differentially Private Computation of Functions with Correlated Noise. CoRR abs/1904.10059 (2019) - [i35]Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate:
Coordination Through Shared Randomness. CoRR abs/1908.08407 (2019) - [i34]Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate:
Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions. CoRR abs/1909.09596 (2019) - [i33]Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
Improved Differentially Private Decentralized Source Separation for fMRI Data. CoRR abs/1910.12913 (2019) - 2018
- [j23]Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Identifiability of Kronecker-Structured Dictionaries for Tensor Data. IEEE J. Sel. Top. Signal Process. 12(5): 1047-1062 (2018) - [j22]Hafiz Imtiaz, Anand D. Sarwate:
Distributed Differentially Private Algorithms for Matrix and Tensor Factorization. IEEE J. Sel. Top. Signal Process. 12(6): 1449-1464 (2018) - [j21]Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate:
Robust Privacy-Utility Tradeoffs Under Differential Privacy and Hamming Distortion. IEEE Trans. Inf. Forensics Secur. 13(11): 2816-2830 (2018) - [j20]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Minimax Lower Bounds on Dictionary Learning for Tensor Data. IEEE Trans. Inf. Theory 64(4): 2706-2726 (2018) - [j19]Anusha Lalitha, Tara Javidi, Anand D. Sarwate:
Social Learning and Distributed Hypothesis Testing. IEEE Trans. Inf. Theory 64(9): 6161-6179 (2018) - [c58]Daniel M. Bittner, Anand D. Sarwate, Rebecca N. Wright:
Using Noisy Binary Search for Differentially Private Anomaly Detection. CSCML 2018: 20-37 - [c57]Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam:
Defending Against Packet-Size Side-Channel Attacks in Iot Networks. ICASSP 2018: 2027-2031 - [c56]Hafiz Imtiaz, Anand D. Sarwate:
Improved Algorithms for Differentially Private Orthogonal Tensor Decomposition. ICASSP 2018: 2201-2205 - [c55]Hafiz Imtiaz, Anand D. Sarwate:
Differentially Private Distributed Principal Component Analysis. ICASSP 2018: 2206-2210 - [c54]Mohsen Ghassemi, Anand D. Sarwate, Naveen Goela:
Global Optimality in Inductive Matrix Completion. ICASSP 2018: 2226-2230 - [c53]Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate:
Quadratically Constrained Myopic Adversarial Channels. ISIT 2018: 611-615 - [c52]Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Quadratically Constrained Channels with Causal Adversaries. ISIT 2018: 621-625 - [c51]Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate:
Coordination Using Individually Shared Randomness. ISIT 2018: 2550-2554 - [i32]Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate:
Quadratically Constrained Myopic Adversarial Channels. CoRR abs/1801.05951 (2018) - [i31]Hafiz Imtiaz, Anand D. Sarwate:
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization. CoRR abs/1804.10299 (2018) - [i30]Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate:
Coordination Using Individually Shared Randomness. CoRR abs/1805.03193 (2018) - [i29]Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Quadratically Constrained Channels with Causal Adversaries. CoRR abs/1805.03319 (2018) - [i28]Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate:
Predictive Learning on Sign-Valued Hidden Markov Trees. CoRR abs/1812.04700 (2018) - 2017
- [j18]Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro:
Data-Dependent Convergence for Consensus Stochastic Optimization. IEEE Trans. Autom. Control. 62(9): 4483-4498 (2017) - [c50]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
STARK: Structured dictionary learning through rank-one tensor recovery. CAMSAP 2017: 1-5 - [c49]Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Identification of kronecker-structured dictionaries: An asymptotic analysis. CAMSAP 2017: 1-5 - [c48]Daniel M. Bittner, Anand D. Sarwate, Rebecca N. Wright:
Differentially Private Noisy Search with Applications to Anomaly Detection (Abstract). AISec@CCS 2017: 53 - [c47]Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi:
A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CLUSTER 2017: 47-57 - [c46]Hafiz Imtiaz, Anand D. Sarwate:
Differentially-private canonical correlation analysis. GlobalSIP 2017: 283-287 - [c45]Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis:
Decentralized independent vector analysis. ICASSP 2017: 826-830 - [c44]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Sample complexity bounds for dictionary learning of tensor data. ICASSP 2017: 4501-4505 - [i27]Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi:
A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CoRR abs/1705.09905 (2017) - [i26]Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery. CoRR abs/1711.04887 (2017) - [i25]Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa:
Identifiability of Kronecker-structured Dictionaries for Tensor Data. CoRR abs/1712.03471 (2017) - [i24]Jing Ming, Eric Verner, Anand D. Sarwate, Ross Kelly, Cory Reed, Torran Kahleck, Rogers F. Silva, Sandeep R. Panta, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun:
COINSTAC: Decentralizing the future of brain imaging analysis. F1000Research 6: 1512- (2017) - 2016
- [c43]Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro:
Data-dependent bounds on network gradient descent. Allerton 2016: 869-874 - [c42]Mohsen Ghassemi, Anand D. Sarwate, Rebecca N. Wright:
Differentially Private Online Active Learning with Applications to Anomaly Detection. AISec@CCS 2016: 117-128 - [c41]Hafiz Imtiaz, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
Privacy-preserving source separation for distributed data using independent component analysis. CISS 2016: 123-127 - [c40]Lu Wei, Anand D. Sarwate, Jukka Corander, Alfred O. Hero III, Vahid Tarokh:
Analysis of a privacy-preserving PCA algorithm using random matrix theory. GlobalSIP 2016: 1335-1339 - [c39]Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam:
Randomized requantization with local differential privacy. ICASSP 2016: 2189-2193 - [c38]Liyang Xie, Sergey M. Plis, Anand D. Sarwate:
Data-weighted ensemble learning for privacy-preserving distributed learning. ICASSP 2016: 2309-2313 - [c37]Hafiz Imtiaz, Anand D. Sarwate:
Symmetric matrix perturbation for differentially-private principal component analysis. ICASSP 2016: 2339-2343 - [c36]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
A bit of delay is sufficient and stochastic encoding is necessary to overcome online adversarial erasures. ISIT 2016: 880-884 - [c35]Zahra Shakeri, Waheed Uz Zaman Bajwa, Anand D. Sarwate:
Minimax lower bounds for Kronecker-structured dictionary learning. ISIT 2016: 1148-1152 - [c34]Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate:
Optimal differential privacy mechanisms under Hamming distortion for structured source classes. ISIT 2016: 2069-2073 - [i23]Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate:
The Optimal Differential Privacy Mechanism under Hamming Distortion for Universal Memoryless Source Classes. CoRR abs/1601.06426 (2016) - [i22]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
The benefit of a 1-bit jump-start, and the necessity of stochastic encoding, in jamming channels. CoRR abs/1602.02384 (2016) - [i21]Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola:
High Dimensional Inference with Random Maximum A-Posteriori Perturbations. CoRR abs/1602.03571 (2016) - [i20]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning. CoRR abs/1605.05284 (2016) - [i19]Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate:
Minimax Lower Bounds on Dictionary Learning for Tensor Data. CoRR abs/1608.02792 (2016) - 2015
- [j17]Chong Huang, Lalitha Sankar, Anand D. Sarwate:
Designing Incentive Schemes for Privacy-Sensitive Users. J. Priv. Confidentiality 7(1) (2015) - [j16]Anand D. Sarwate, Tara Javidi:
Distributed Learning of Distributions via Social Sampling. IEEE Trans. Autom. Control. 60(1): 34-45 (2015) - [c33]Avhishek Chatterjee, Anand D. Sarwate, Sriram Vishwanath:
Generalized opinion dynamics from local optimization rules. ACSSC 2015: 1075-1079 - [c32]Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate:
Learning from Data with Heterogeneous Noise using SGD. AISTATS 2015 - [c31]Mohsen Ghassemi, Anand D. Sarwate:
Distributed proportional stochastic coordinate descent with social sampling. Allerton 2015: 17-24 - [c30]Chong Huang, Lalitha Sankar, Anand D. Sarwate:
Incentive Schemes for Privacy-Sensitive Consumers. GameSec 2015: 358-369 - [c29]Bradley T. Baker, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis:
Large scale collaboration with autonomy: Decentralized data ICA. MLSP 2015: 1-6 - [i18]Chong Huang, Lalitha Sankar, Anand D. Sarwate:
Designing Incentive Schemes For Privacy-Sensitive Users. CoRR abs/1508.01818 (2015) - 2014
- [j15]Narayana P. Santhanam, Anand D. Sarwate, Jae Oh Woo:
Redundancy of Exchangeable Estimators. Entropy 16(10): 5339-5357 (2014) - [j14]Anand D. Sarwate, Sergey M. Plis, Jessica A. Turner, Mohammad Arbabshirani, Vince D. Calhoun:
Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation. Frontiers Neuroinformatics 8: 35 (2014) - [c28]Anand D. Sarwate, Lalitha Sankar:
A rate-disortion perspective on local differential privacy. Allerton 2014: 903-908 - [c27]Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola:
On Measure Concentration of Random Maximum A-Posteriori Perturbations. ICML 2014: 432-440 - [c26]Anusha Lalitha, Anand D. Sarwate, Tara Javidi:
Social learning and distributed hypothesis testing. ISIT 2014: 551-555 - [c25]Konstantinos I. Tsianos, Anand D. Sarwate, Michael G. Rabbat:
Tradeoffs for task parallelization in distributed optimization. MLSP 2014: 1-6 - [i17]Narayana P. Santhanam, Anand D. Sarwate, Jae Oh Woo:
Redundancy of Exchangeable Estimators. CoRR abs/1407.5383 (2014) - [i16]Avhishek Chatterjee, Anand D. Sarwate, Sriram Vishwanath:
Generalized Opinion Dynamics from Local Optimization Rules. CoRR abs/1409.7614 (2014) - [i15]Anusha Lalitha, Tara Javidi, Anand D. Sarwate:
Social Learning and Distributed Hypothesis Testing. CoRR abs/1410.4307 (2014) - [i14]Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate:
Learning from Data with Heterogeneous Noise using SGD. CoRR abs/1412.5617 (2014) - 2013
- [j13]Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha:
A near-optimal algorithm for differentially-private principal components. J. Mach. Learn. Res. 14(1): 2905-2943 (2013) - [j12]Anand D. Sarwate, Kamalika Chaudhuri:
Signal Processing and Machine Learning with Differential Privacy: Algorithms and Challenges for Continuous Data. IEEE Signal Process. Mag. 30(5): 86-94 (2013) - [j11]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Upper Bounds on the Capacity of Binary Channels With Causal Adversaries. IEEE Trans. Inf. Theory 59(6): 3753-3763 (2013) - [c24]Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate:
Stochastic gradient descent with differentially private updates. GlobalSIP 2013: 245-248 - [c23]Vinod M. Prabhakaran, Anand D. Sarwate:
Assisted sampling of correlated sources. ISIT 2013: 3155-3159 - [c22]Sivan Sabato, Anand D. Sarwate, Nati Srebro:
Auditing: Active Learning with Outcome-Dependent Query Costs. NIPS 2013: 512-520 - [i13]Anand D. Sarwate, Tara Javidi:
Distributed Learning of Distributions via Social Sampling. CoRR abs/1305.4548 (2013) - [i12]Sivan Sabato, Anand D. Sarwate, Nathan Srebro:
Auditing: Active Learning with Outcome-Dependent Query Costs. CoRR abs/1306.2347 (2013) - [i11]Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi S. Jaakkola:
On Measure Concentration of Random Maximum A-Posteriori Perturbations. CoRR abs/1310.4227 (2013) - 2012
- [j10]Staal Amund Vinterbo, Anand D. Sarwate, Aziz A. Boxwala:
Protecting count queries in study design. J. Am. Medical Informatics Assoc. 19(5): 750-757 (2012) - [j9]Anand D. Sarwate, Michael Gastpar:
List-Decoding for the Arbitrarily Varying Channel Under State Constraints. IEEE Trans. Inf. Theory 58(3): 1372-1384 (2012) - [j8]Anand D. Sarwate, Alexandros G. Dimakis:
The Impact of Mobility on Gossip Algorithms. IEEE Trans. Inf. Theory 58(3): 1731-1742 (2012) - [c21]Anand D. Sarwate:
Merging opinions by social sampling of posteriors. Allerton Conference 2012: 379-385 - [c20]Anand D. Sarwate, Tara Javidi:
Distributed learning from social sampling. CISS 2012: 1-6 - [c19]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Improved upper bounds on the capacity of binary channels with causal adversaries. ISIT 2012: 681-685 - [c18]Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha:
Near-optimal Differentially Private Principal Components. NIPS 2012: 998-1006 - [i10]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Upper Bounds on the Capacity of Binary Channels with Causal Adversaries. CoRR abs/1204.2587 (2012) - [i9]Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha:
Near-Optimal Algorithms for Differentially-Private Principal Components. CoRR abs/1207.2812 (2012) - [i8]Anand D. Sarwate, Michael Gastpar:
Relaxing the Gaussian AVC. CoRR abs/1209.2755 (2012) - 2011
- [j7]Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate:
Differentially Private Empirical Risk Minimization. J. Mach. Learn. Res. 12: 1069-1109 (2011) - [c17]Anand D. Sarwate, Tara Javidi:
Opinion dynamics and distributed learning of distributions. Allerton 2011: 1151-1158 - 2010
- [j6]Anand D. Sarwate, Michael Gastpar:
A little feedback can simplify sensor network cooperation. IEEE J. Sel. Areas Commun. 28(7): 1159-1168 (2010) - [j5]Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar:
Zero-rate feedback can achieve the empirical capacity. IEEE Trans. Inf. Theory 56(1): 25-39 (2010) - [j4]Anand D. Sarwate, Michael Gastpar:
Rateless codes for AVC models. IEEE Trans. Inf. Theory 56(7): 3105-3114 (2010) - [c16]Michèle A. Wigger, Anand D. Sarwate:
Linear strategies for the Gaussian MAC with user cooperation. Allerton 2010: 1046-1053 - [c15]Narayana P. Santhanam, Mokshay M. Madiman, Anand D. Sarwate:
Redundancy of exchangeable estimators. Allerton 2010: 1153-1157 - [c14]Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate:
Coding against delayed adversaries. ISIT 2010: 285-289 - [c13]Anand D. Sarwate:
Coding against myopic adversaries. ITW 2010: 1-5 - [c12]Stephen Checkoway, Anand D. Sarwate:
Single-Ballot Risk-Limiting Audits Using Convex Optimization. EVT/WOTE 2010
2000 – 2009
- 2009
- [j3]Tuncer C. Aysal, Mehmet E. Yildiz, Anand D. Sarwate, Anna Scaglione:
Broadcast gossip algorithms for consensus. IEEE Trans. Signal Process. 57(7): 2748-2761 (2009) - [c11]Tuncer C. Aysal, Anand D. Sarwate, Alexandros G. Dimakis:
Reaching consensus in wireless networks with probabilistic broadcast. Allerton 2009: 732-739 - [c10]Anand D. Sarwate, Alexandros G. Dimakis:
The Impact of Mobility on Gossip Algorithms. INFOCOM 2009: 2088-2096 - [c9]Anand D. Sarwate, Michael Gastpar:
Some observations on limited feedback for multiaccess channels. ISIT 2009: 394-397 - [i7]Anand D. Sarwate, Kamalika Chaudhuri, Claire Monteleoni:
Differentially Private Support Vector Machines. CoRR abs/0912.0071 (2009) - 2008
- [j2]Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright:
Geographic Gossip: Efficient Averaging for Sensor Networks. IEEE Trans. Signal Process. 56(3): 1205-1216 (2008) - [c8]Tuncer C. Aysal, Mehmet E. Yildiz, Anand D. Sarwate, Anna Scaglione:
Broadcast gossip algorithms: Design and analysis for consensus. CDC 2008: 4843-4848 - [c7]Anand D. Sarwate, Michael Gastpar:
Adversarial interference models for multiantenna cooperative systems. CISS 2008: 785-790 - [c6]Anand D. Sarwate, Michael Gastpar:
Arbitrarily dirty paper coding and applications. ISIT 2008: 925-929 - [i6]Anand D. Sarwate, Alexandros G. Dimakis:
The Impact of Mobility on Gossip Algorithms. CoRR abs/0810.2513 (2008) - 2007
- [c5]Anand D. Sarwate, Michael Gastpar:
Channels with nosy "noise". ISIT 2007: 996-1000 - [c4]Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar:
Using zero-rate feedback on binary additive channels with individual noise sequences. ISIT 2007: 1431-1435 - [i5]Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright:
Geographic Gossip: Efficient Averaging for Sensor Networks. CoRR abs/0709.3921 (2007) - [i4]Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, Michael Gastpar:
Limited feedback achieves the empirical capacity. CoRR abs/0711.0237 (2007) - [i3]Anand D. Sarwate, Michael Gastpar:
Rateless coding with partial state information at the decoder. CoRR abs/0711.3926 (2007) - [i2]Anand D. Sarwate, Michael Gastpar:
Deterministic list codes for state-constrained arbitrarily varying channels. CoRR abs/cs/0701146 (2007) - 2006
- [j1]Anand D. Sarwate, Venkat Anantharam:
Exact emulation of a priority queue with a switch and delay lines. Queueing Syst. Theory Appl. 53(3): 115-125 (2006) - [c3]Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright:
Geographic gossip: efficient aggregation for sensor networks. IPSN 2006: 69-76 - [c2]Anand D. Sarwate, Michael Gastpar:
Randomization bounds on Gaussian arbitrarily varying channels. ISIT 2006: 2161-2165 - [i1]Alexandros G. Dimakis, Anand D. Sarwate, Martin J. Wainwright:
Geographic Gossip: Efficient Aggregation for Sensor Networks. CoRR abs/cs/0602071 (2006) - 2005
- [c1]Anand D. Sarwate, Michael Gastpar:
Fading observation alignment via feedback. IPSN 2005: 317-323
Coauthor Index
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