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ORCIDGarud Iyengar
Garud N. Iyengar
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- affiliation: Columbia University, New York City, USA
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2020 – today
- 2024
[j37]Omar Besbes
, Vineet Goyal, Garud Iyengar, Raghav Singal:
Workforce Scheduling with Heterogeneous Time Preferences: Effective Wages and Workers' Supply. Manuf. Serv. Oper. Manag. 26(5): 1768-1786 (2024)- [c29]Wonyoung Kim, Garud Iyengar, Assaf Zeevi:
A Doubly Robust Approach to Sparse Reinforcement Learning. AISTATS 2024: 2305-2313 - [c28]Jakub Cerný, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer, Garud Iyengar:
Contested Logistics: A Game-Theoretic Approach. GameSec 2024: 124-146 - [c27]Jakub Cerný, Chun Kai Ling, Christian Kroer, Garud Iyengar:
Layered Graph Security Games. IJCAI 2024: 2695-2703 - [i26]Garud Iyengar, Raghav Singal:
Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization. CoRR abs/2401.06710 (2024) - [i25]Jakub Cerný, Chun Kai Ling, Christian Kroer, Garud Iyengar:
Layered Graph Security Games. CoRR abs/2405.03070 (2024) - [i24]Jakub Cerný, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer, Garud Iyengar:
Contested Logistics: A Game-Theoretic Approach. CoRR abs/2408.13057 (2024) - 2023
- [j36]Agostino Capponi, Garud Iyengar, Jay Sethuraman:
Decentralized Finance: Protocols, Risks, and Governance. Found. Trends Priv. Secur. 5(3): 144-188 (2023) - [j35]Madhumitha Shridharan, Garud Iyengar:
Scalable Computation of Causal Bounds. J. Mach. Learn. Res. 24: 237:1-237:35 (2023) - [j34]Garud Iyengar, Fahad Saleh, Jay Sethuraman, Wenjun Wang:
Economics of Permissioned Blockchain Adoption. Manag. Sci. 69(6): 3415-3436 (2023) - [j33]Yupeng Chen, Garud Iyengar, Chun Wang:
Robust Inventory Management: A Cycle-Based Approach. Manuf. Serv. Oper. Manag. 25(2): 581-594 (2023) - [c26]Garud Iyengar, Henry Lam, Tianyu Wang:
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation. AISTATS 2023: 9976-10011 - [c25]Wonyoung Kim, Garud Iyengar, Assaf Zeevi:
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback. ICML 2023: 16458-16501 - [c24]Madhumitha Shridharan, Garud Iyengar:
Causal Bounds in Quasi-Markovian Graphs. ICML 2023: 31675-31692 - [i23]Wonyoung Kim, Garud Iyengar, Assaf Zeevi:
Improved Algorithms for Multi-period Multi-class Packing Problems with~Bandit~Feedback. CoRR abs/2301.13791 (2023) - [i22]Wonyoung Kim, Garud Iyengar, Assaf Zeevi:
Pareto Front Identification with Regret Minimization. CoRR abs/2306.00096 (2023) - [i21]Garud Iyengar, Henry Lam, Tianyu Wang:
Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization. CoRR abs/2306.10081 (2023) - [i20]Madhumitha Shridharan, Garud Iyengar:
Scalable Computation of Causal Bounds. CoRR abs/2308.02709 (2023) - [i19]Wonyoung Kim, Garud Iyengar, Assaf Zeevi:
A Doubly Robust Approach to Sparse Reinforcement Learning. CoRR abs/2310.15286 (2023) - [i18]Agostino Capponi, Garud Iyengar, Jay Sethuraman:
Decentralized Finance: Protocols, Risks, and Governance. CoRR abs/2312.01018 (2023) - 2022
- [j32]Xiao-Yue Gong, Vineet Goyal, Garud N. Iyengar, David Simchi-Levi, Rajan Udwani, Shuangyu Wang:
Online Assortment Optimization with Reusable Resources. Manag. Sci. 68(7): 4772-4785 (2022) - [j31]Raghav Singal, Omar Besbes, Antoine Désir, Vineet Goyal, Garud Iyengar:
Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising. Manag. Sci. 68(10): 7457-7479 (2022) - [c23]Madhumitha Shridharan, Garud Iyengar:
Scalable Computation of Causal Bounds. ICML 2022: 20125-20140 - [i17]Giorgio Costa, Garud N. Iyengar:
Distributionally Robust End-to-End Portfolio Construction. CoRR abs/2206.05134 (2022) - [i16]Garud Iyengar, Henry Lam, Tianyu Wang:
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation. CoRR abs/2212.01518 (2022) - 2021
- [j30]Humoud Alsabah, Benjamin Bernard, Agostino Capponi, Garud Iyengar, Jay Sethuraman:
Multiregional Oligopoly with Capacity Constraints. Manag. Sci. 67(8): 4789-4808 (2021) - [c22]Min-hwan Oh, Garud Iyengar:
Multinomial Logit Contextual Bandits: Provable Optimality and Practicality. AAAI 2021: 9205-9213 - [c21]Min-hwan Oh, Garud Iyengar, Assaf Zeevi:
Sparsity-Agnostic Lasso Bandit. ICML 2021: 8271-8280 - [c20]Vineet Goyal, Garud Iyengar, Rajan Udwani:
Asymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources. WINE 2021: 543 - [i15]Min-hwan Oh, Garud Iyengar:
Multinomial Logit Contextual Bandits: Provable Optimality and Practicality. CoRR abs/2103.13929 (2021) - 2020
- [j29]Çagil Koçyigit, Garud Iyengar, Daniel Kuhn, Wolfram Wiesemann:
Distributionally Robust Mechanism Design. Manag. Sci. 66(1): 159-189 (2020) - [i14]Vineet Goyal, Garud Iyengar, Rajan Udwani:
Online Allocation of Reusable Resources: Achieving Optimal Competitive Ratio. CoRR abs/2002.02430 (2020) - [i13]Min-hwan Oh, Garud Iyengar:
Sequential Anomaly Detection using Inverse Reinforcement Learning. CoRR abs/2004.10398 (2020) - [i12]Min-hwan Oh, Garud Iyengar, Assaf Zeevi:
Sparsity-Agnostic Lasso Bandit. CoRR abs/2007.08477 (2020) - [i11]Vineet Goyal, Garud Iyengar, Rajan Udwani:
Online Allocation of Reusable Resources via Algorithms Guided by Fluid Approximations. CoRR abs/2010.03983 (2020)
2010 – 2019
- 2019
- [j28]Yu Luo, Garud Iyengar, Venkat Venkatasubramanian:
A One-Third Advice Rule Based on a Control-Theoretic Opinion Dynamics Model. IEEE Trans. Comput. Soc. Syst. 6(3): 576-581 (2019) - [c19]Hal James Cooper, Garud Iyengar, Ching-Yung Lin:
Deep Influence Diagrams: An Interpretable and Robust Decision Support System. BIS (1) 2019: 450-462 - [c18]Hal James Cooper, Garud Iyengar, Ching-Yung Lin:
Personalized Product Recommendation for Interactive Media. IHSI 2019: 510-516 - [c17]Min-hwan Oh, Garud Iyengar:
Sequential Anomaly Detection using Inverse Reinforcement Learning. KDD 2019: 1480-1490 - [c16]Min-hwan Oh, Garud Iyengar:
Thompson Sampling for Multinomial Logit Contextual Bandits. NeurIPS 2019: 3145-3155 - [c15]Omar Besbes, Antoine Désir, Vineet Goyal, Garud Iyengar, Raghav Singal:
Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising. WWW 2019: 1713-1723 - 2018
- [j27]Rodrigo A. Carrasco, Garud Iyengar, Cliff Stein:
Resource cost aware scheduling. Eur. J. Oper. Res. 269(2): 621-632 (2018) - [j26]Maximilian Haas-Heger, Garud Iyengar, Matei T. Ciocarlie:
Passive Reaction Analysis for Grasp Stability. IEEE Trans Autom. Sci. Eng. 15(3): 955-966 (2018) - [j25]Yu Luo, Garud Iyengar, Venkat Venkatasubramanian:
Social Influence Makes Self-Interested Crowds Smarter: An Optimal Control Perspective. IEEE Trans. Comput. Soc. Syst. 5(1): 200-209 (2018) - [c14]Hal James Cooper, Garud Iyengar, Ching-Yung Lin:
Interpretable Robust Decision Making. AAMAS 2018: 1912-1914 - [c13]Maximilian Haas-Heger, Christos H. Papadimitriou, Mihalis Yannakakis, Garud Iyengar, Matei T. Ciocarlie:
Passive Static Equilibrium with Frictional Contacts and Application to Grasp Stability Analysis. Robotics: Science and Systems 2018 - [i10]Maximilian Haas-Heger, Garud Iyengar, Matei T. Ciocarlie:
Passive Reaction Analysis for Grasp Stability. CoRR abs/1801.06558 (2018) - [i9]Francois Fagan, Garud Iyengar:
Unbiased scalable softmax optimization. CoRR abs/1803.08577 (2018) - [i8]Maximilian Haas-Heger, Christos H. Papadimitriou, Mihalis Yannakakis, Garud Iyengar, Matei T. Ciocarlie:
Passive Static Equilibrium with Frictional Contacts and Application to Grasp Stability Analysis. CoRR abs/1806.01384 (2018) - [i7]Francois Fagan, Garud Iyengar:
Robust Implicit Backpropagation. CoRR abs/1808.02433 (2018) - [i6]Hal James Cooper, Garud Iyengar, Ching-Yung Lin:
Attainment Ratings for Graph-Query Recommendation. CoRR abs/1808.05988 (2018) - [i5]Min-hwan Oh, Garud Iyengar:
Directed Exploration in PAC Model-Free Reinforcement Learning. CoRR abs/1808.10552 (2018) - 2017
- [j24]Yupeng Chen, Raghuram Iyengar, Garud Iyengar:
Modeling Multimodal Continuous Heterogeneity in Conjoint Analysis - A Sparse Learning Approach. Mark. Sci. 36(1): 140-156 (2017) - [c12]Donald Goldfarb, Garud Iyengar, Chaoxu Zhou:
Linear Convergence of Stochastic Frank Wolfe Variants. AISTATS 2017: 1066-1074 - 2016
- [j23]Martin Haugh, Garud Iyengar, Chun Wang:
Tax-Aware Dynamic Asset Allocation. Oper. Res. 64(4): 849-866 (2016) - [j22]Carlos Abad, Garud Iyengar:
A Near-Optimal Maintenance Policy for Automated DR Devices. IEEE Trans. Smart Grid 7(3): 1411-1419 (2016) - [c11]Maximilian Haas-Heger, Garud Iyengar, Matei T. Ciocarlie:
On the Distinction between Active and Passive Reaction in Grasp Stability Analysis. WAFR 2016: 448-463 - [i4]Yu Luo, Garud Iyengar, Venkat Venkatasubramanian:
Social influence makes self-interested crowds smarter: an optimal control perspective. CoRR abs/1611.01558 (2016) - 2015
- [j21]Necdet S. Aybat, Garud Iyengar:
An alternating direction method with increasing penalty for stable principal component pursuit. Comput. Optim. Appl. 61(3): 635-668 (2015) - [j20]Daniel Soudry, Suraj Keshri, Patrick Stinson, Min-hwan Oh, Garud Iyengar, Liam Paninski:
Efficient "Shotgun" Inference of Neural Connectivity from Highly Sub-sampled Activity Data. PLoS Comput. Biol. 11(10) (2015) - [j19]Carlos Abad, Garud Iyengar:
Portfolio Selection with Multiple Spectral Risk Constraints. SIAM J. Financial Math. 6(1): 467-486 (2015) - [c10]Necdet S. Aybat, Zi Wang, Garud Iyengar:
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization. ICML 2015: 2454-2462 - 2014
- [j18]Necdet S. Aybat, Garud Iyengar:
A unified approach for minimizing composite norms. Math. Program. 144(1-2): 181-226 (2014) - [c9]Vineet Goyal, Garud Iyengar, Quique Schwarz, Shuangyu Wang:
Optimal price rebates for demand response under power flow constraints. SmartGridComm 2014: 626-631 - 2013
- [j17]Garud Iyengar, Alfred Ka Chun Ma:
Fast gradient descent method for Mean-CVaR optimization. Ann. Oper. Res. 205(1): 203-212 (2013) - [j16]Chen Chen, Garud Iyengar, Ciamac C. Moallemi:
An Axiomatic Approach to Systemic Risk. Manag. Sci. 59(6): 1373-1388 (2013) - [j15]Rodrigo A. Carrasco, Garud Iyengar, Cliff Stein:
Single machine scheduling with job-dependent convex cost and arbitrary precedence constraints. Oper. Res. Lett. 41(5): 436-441 (2013) - [c8]Vineet Goyal, Garud Iyengar, Zhen Qiu:
Near-optimal execution policies for demand-response contracts in electricity markets. CDC 2013: 3697-3702 - 2012
- [j14]Necdet S. Aybat, Garud Iyengar:
A First-Order Augmented Lagrangian Method for Compressed Sensing. SIAM J. Optim. 22(2): 429-459 (2012) - 2011
- [j13]Willemien Kets, Garud Iyengar, Rajiv Sethi, Samuel Bowles:
Inequality and network structure. Games Econ. Behav. 73(1): 215-226 (2011) - [j12]Garud Iyengar, David J. Phillips, Clifford Stein:
Approximating Semidefinite Packing Programs. SIAM J. Optim. 21(1): 231-268 (2011) - [j11]Necdet S. Aybat, Garud Iyengar:
A First-Order Smoothed Penalty Method for Compressed Sensing. SIAM J. Optim. 21(1): 287-313 (2011) - [i3]Rodrigo A. Carrasco, Garud Iyengar, Clifford Stein:
Energy Aware Scheduling for Weighted Completion Time and Weighted Tardiness. CoRR abs/1110.0685 (2011) - 2010
- [c7]Garud Iyengar, David J. Phillips, Clifford Stein:
Feasible and Accurate Algorithms for Covering Semidefinite Programs. SWAT 2010: 150-162
2000 – 2009
- 2007
- [j10]Emre Erdogan, Garud Iyengar:
On two-stage convex chance constrained problems. Math. Methods Oper. Res. 65(1): 115-140 (2007) - [c6]Garud Iyengar, Anuj Kumar:
An equilibrium model for matching impatient demand and patient supply over time. EC 2007: 59-65 - [c5]Garud Iyengar, David J. Phillips, Clifford Stein:
Models of malicious behavior in sponsored search. SpringSim (3) 2007: 143-151 - 2006
- [j9]Emre Erdogan, Garud Iyengar:
Ambiguous chance constrained problems and robust optimization. Math. Program. 107(1-2): 37-61 (2006) - [j8]Daniel Bienstock, Garud Iyengar:
Approximating Fractional Packings and Coverings in O(1/epsilon) Iterations. SIAM J. Comput. 35(4): 825-854 (2006) - [j7]Emre Erdogan, Garud Iyengar:
An Active Set Method for Single-Cone Second-Order Cone Programs. SIAM J. Optim. 17(2): 459-484 (2006) - [i2]Garud Iyengar, Anuj Kumar:
Characterizing Optimal Adword Auctions. CoRR abs/cs/0611063 (2006) - [i1]Garud Iyengar, Anuj Kumar:
An equilibrium model for matching impatient demand and patient supply over time. CoRR abs/cs/0612065 (2006) - 2005
- [j6]Garud N. Iyengar:
Robust Dynamic Programming. Math. Oper. Res. 30(2): 257-280 (2005) - [j5]Mehmet Tolga Çezik, Garud Iyengar:
Cuts for mixed 0-1 conic programming. Math. Program. 104(1): 179-202 (2005) - [j4]Garud Iyengar, Wanmo Kang:
Inverse conic programming with applications. Oper. Res. Lett. 33(3): 319-330 (2005) - [c4]Garud Iyengar, David J. Phillips, Clifford Stein:
Approximation Algorithms for Semidefinite Packing Problems with Applications to Maxcut and Graph Coloring. IPCO 2005: 152-166 - 2004
- [c3]Daniel Bienstock, Garud Iyengar:
Solving fractional packing problems in Oast(1/?) iterations. STOC 2004: 146-155 - 2003
- [j3]Donald Goldfarb, Garud Iyengar:
Robust Portfolio Selection Problems. Math. Oper. Res. 28(1): 1-38 (2003) - [j2]Donald Goldfarb, Garud Iyengar:
Robust convex quadratically constrained programs. Math. Program. 97(3): 495-515 (2003) - 2001
- [c2]Garud Iyengar, Mehmet Tolga Çezik:
Cutting Planes for Mixed 0-1 Semidefinite Programs. IPCO 2001: 251-263 - 2000
- [j1]Garud Iyengar, Thomas M. Cover:
Growth optimal investment in horse race markets with costs. IEEE Trans. Inf. Theory 46(7): 2675-2683 (2000)
1990 – 1999
- 1998
- [c1]Debajyoti Pal, Garud N. Iyengar, John M. Cioffi:
A new method of channel shortening with applications to discrete multi-tone (DMT) systems. ICC 1998: 763-768
Coauthor Index
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