Garud Iyengar

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 52

Top Topics

Multinomial Logit

Packing Problem

Robust Optimization

Competitive Ratio

Top Venues

Publications

Garud Iyengar, Raghav Singal
Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization. CoRR (2024)
Wonyoung Kim, Garud Iyengar, Assaf Zeevi
A Doubly Robust Approach to Sparse Reinforcement Learning. AISTATS (2024)
Jakub Cerný, Chun Kai Ling, Christian Kroer, Garud Iyengar
Layered Graph Security Games. CoRR (2024)
Madhumitha Shridharan, Garud Iyengar
Scalable Computation of Causal Bounds. J. Mach. Learn. Res. 24 (2023)
Garud Iyengar, Henry Lam, Tianyu Wang
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation. AISTATS (2023)
Garud Iyengar, Fahad Saleh, Jay Sethuraman, Wenjun Wang
Economics of Permissioned Blockchain Adoption. Manag. Sci. 69 (6) (2023)
Wonyoung Kim, Garud Iyengar, Assaf Zeevi
Improved Algorithms for Multi-period Multi-class Packing Problems with~Bandit~Feedback. CoRR (2023)
Agostino Capponi, Garud Iyengar, Jay Sethuraman
Decentralized Finance: Protocols, Risks, and Governance. CoRR (2023)
Wonyoung Kim, Garud Iyengar, Assaf Zeevi
A Doubly Robust Approach to Sparse Reinforcement Learning. CoRR (2023)
Yupeng Chen, Garud Iyengar, Chun Wang
Robust Inventory Management: A Cycle-Based Approach. Manuf. Serv. Oper. Manag. 25 (2) (2023)
Wonyoung Kim, Garud Iyengar, Assaf Zeevi
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback. ICML (2023)
Garud Iyengar, Henry Lam, Tianyu Wang
Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization. CoRR (2023)
Wonyoung Kim, Garud Iyengar, Assaf Zeevi
Pareto Front Identification with Regret Minimization. CoRR (2023)
Madhumitha Shridharan, Garud Iyengar
Scalable Computation of Causal Bounds. CoRR (2023)
Madhumitha Shridharan, Garud Iyengar
Causal Bounds in Quasi-Markovian Graphs. ICML (2023)
Agostino Capponi, Garud Iyengar, Jay Sethuraman
Decentralized Finance: Protocols, Risks, and Governance. Found. Trends Priv. Secur. 5 (3) (2023)
Madhumitha Shridharan, Garud Iyengar
Scalable Computation of Causal Bounds. ICML (2022)
Garud Iyengar, Henry Lam, Tianyu Wang
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation. CoRR (2022)
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) (2022)
Min-hwan Oh, Garud Iyengar
Multinomial Logit Contextual Bandits: Provable Optimality and Practicality. AAAI (2021)
Vineet Goyal, Garud Iyengar, Rajan Udwani
Asymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources. WINE (2021)
Min-hwan Oh, Garud Iyengar
Multinomial Logit Contextual Bandits: Provable Optimality and Practicality. CoRR (2021)
Humoud Alsabah, Benjamin Bernard, Agostino Capponi, Garud Iyengar, Jay Sethuraman
Multiregional Oligopoly with Capacity Constraints. Manag. Sci. 67 (8) (2021)
Min-hwan Oh, Garud Iyengar, Assaf Zeevi
Sparsity-Agnostic Lasso Bandit. ICML (2021)
Min-hwan Oh, Garud Iyengar, Assaf Zeevi
Sparsity-Agnostic Lasso Bandit. CoRR (2020)
Min-hwan Oh, Garud Iyengar
Sequential Anomaly Detection using Inverse Reinforcement Learning. CoRR (2020)
Vineet Goyal, Garud Iyengar, Rajan Udwani
Online Allocation of Reusable Resources via Algorithms Guided by Fluid Approximations. CoRR (2020)
Vineet Goyal, Garud Iyengar, Rajan Udwani
Online Allocation of Reusable Resources: Achieving Optimal Competitive Ratio. CoRR (2020)
Çagil Koçyigit, Garud Iyengar, Daniel Kuhn, Wolfram Wiesemann
Distributionally Robust Mechanism Design. Manag. Sci. 66 (1) (2020)
Hal James Cooper, Garud Iyengar, Ching-Yung Lin
Deep Influence Diagrams: An Interpretable and Robust Decision Support System. BIS (1) (2019)
Min-hwan Oh, Garud Iyengar
Thompson Sampling for Multinomial Logit Contextual Bandits. NeurIPS (2019)
Min-hwan Oh, Garud Iyengar
Sequential Anomaly Detection using Inverse Reinforcement Learning. KDD (2019)
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) (2019)
Hal James Cooper, Garud Iyengar, Ching-Yung Lin
Personalized Product Recommendation for Interactive Media. IHSI (2019)
Omar Besbes, Antoine Désir, Vineet Goyal, Garud Iyengar, Raghav Singal
Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising. WWW (2019)
Maximilian Haas-Heger, Garud Iyengar, Matei T. Ciocarlie
Passive Reaction Analysis for Grasp Stability. CoRR (2018)
Hal James Cooper, Garud Iyengar, Ching-Yung Lin
Interpretable Robust Decision Making. AAMAS (2018)
Hal James Cooper, Garud Iyengar, Ching-Yung Lin
Attainment Ratings for Graph-Query Recommendation. CoRR (2018)
Francois Fagan, Garud Iyengar
Robust Implicit Backpropagation. CoRR (2018)
Francois Fagan, Garud Iyengar
Unbiased scalable softmax optimization. CoRR (2018)
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)
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 (2018)
Yu Luo, Garud Iyengar, Venkat Venkatasubramanian
Social Influence Makes Self-Interested Crowds Smarter: An Optimal Control Perspective. IEEE Trans. Comput. Soc. Syst. 5 (1) (2018)
Rodrigo A. Carrasco, Garud Iyengar, Cliff Stein
Resource cost aware scheduling. Eur. J. Oper. Res. 269 (2) (2018)
Min-hwan Oh, Garud Iyengar
Directed Exploration in PAC Model-Free Reinforcement Learning. CoRR (2018)
Maximilian Haas-Heger, Garud Iyengar, Matei T. Ciocarlie
Passive Reaction Analysis for Grasp Stability. IEEE Trans Autom. Sci. Eng. 15 (3) (2018)
Yupeng Chen, Raghuram Iyengar, Garud Iyengar
Modeling Multimodal Continuous Heterogeneity in Conjoint Analysis - A Sparse Learning Approach. Mark. Sci. 36 (1) (2017)
Donald Goldfarb, Garud Iyengar, Chaoxu Zhou
Linear Convergence of Stochastic Frank Wolfe Variants. AISTATS (2017)
Martin Haugh, Garud Iyengar, Chun Wang
Tax-Aware Dynamic Asset Allocation. Oper. Res. 64 (4) (2016)
Carlos Abad, Garud Iyengar
A Near-Optimal Maintenance Policy for Automated DR Devices. IEEE Trans. Smart Grid 7 (3) (2016)
Maximilian Haas-Heger, Garud Iyengar, Matei T. Ciocarlie
On the Distinction between Active and Passive Reaction in Grasp Stability Analysis. WAFR (2016)
Yu Luo, Garud Iyengar, Venkat Venkatasubramanian
Social influence makes self-interested crowds smarter: an optimal control perspective. CoRR (2016)
Carlos Abad, Garud Iyengar
Portfolio Selection with Multiple Spectral Risk Constraints. SIAM J. Financial Math. 6 (1) (2015)
Necdet S. Aybat, Zi Wang, Garud Iyengar
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization. ICML (2015)
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)
Necdet S. Aybat, Garud Iyengar
An alternating direction method with increasing penalty for stable principal component pursuit. Comput. Optim. Appl. 61 (3) (2015)
Vineet Goyal, Garud Iyengar, Quique Schwarz, Shuangyu Wang
Optimal price rebates for demand response under power flow constraints. SmartGridComm (2014)
Necdet S. Aybat, Garud Iyengar
A unified approach for minimizing composite norms. Math. Program. 144 (1-2) (2014)
Vineet Goyal, Garud Iyengar, Zhen Qiu
Near-optimal execution policies for demand-response contracts in electricity markets. CDC (2013)
Garud Iyengar, Alfred Ka Chun Ma
Fast gradient descent method for Mean-CVaR optimization. Ann. Oper. Res. 205 (1) (2013)
Chen Chen, Garud Iyengar, Ciamac C. Moallemi
An Axiomatic Approach to Systemic Risk. Manag. Sci. 59 (6) (2013)
Rodrigo A. Carrasco, Garud Iyengar, Cliff Stein
Single machine scheduling with job-dependent convex cost and arbitrary precedence constraints. Oper. Res. Lett. 41 (5) (2013)
Necdet S. Aybat, Garud Iyengar
A First-Order Augmented Lagrangian Method for Compressed Sensing. SIAM J. Optim. 22 (2) (2012)
Garud Iyengar, David J. Phillips, Clifford Stein
Approximating Semidefinite Packing Programs. SIAM J. Optim. 21 (1) (2011)
Willemien Kets, Garud Iyengar, Rajiv Sethi, Samuel Bowles
Inequality and network structure. Games Econ. Behav. 73 (1) (2011)
Rodrigo A. Carrasco, Garud Iyengar, Clifford Stein
Energy Aware Scheduling for Weighted Completion Time and Weighted Tardiness CoRR (2011)
Necdet S. Aybat, Garud Iyengar
A First-Order Smoothed Penalty Method for Compressed Sensing. SIAM J. Optim. 21 (1) (2011)
Garud Iyengar, David J. Phillips, Clifford Stein
Feasible and Accurate Algorithms for Covering Semidefinite Programs. SWAT (2010)
Emre Erdogan, Garud Iyengar
On two-stage convex chance constrained problems. Math. Methods Oper. Res. 65 (1) (2007)
Garud Iyengar, David J. Phillips, Clifford Stein
Models of malicious behavior in sponsored search. SpringSim (3) (2007)
Garud Iyengar, Anuj Kumar
An equilibrium model for matching impatient demand and patient supply over time. EC (2007)
Garud Iyengar, Anuj Kumar
An equilibrium model for matching impatient demand and patient supply over time CoRR (2006)
Emre Erdogan, Garud Iyengar
An Active Set Method for Single-Cone Second-Order Cone Programs. SIAM J. Optim. 17 (2) (2006)
Daniel Bienstock, Garud Iyengar
Approximating Fractional Packings and Coverings in O(1/epsilon) Iterations. SIAM J. Comput. 35 (4) (2006)
Garud Iyengar, Anuj Kumar
Characterizing Optimal Adword Auctions CoRR (2006)
Emre Erdogan, Garud Iyengar
Ambiguous chance constrained problems and robust optimization. Math. Program. 107 (1-2) (2006)
Garud Iyengar, David J. Phillips, Clifford Stein
Approximation Algorithms for Semidefinite Packing Problems with Applications to Maxcut and Graph Coloring. IPCO (2005)
Mehmet Tolga Çezik, Garud Iyengar
Cuts for mixed 0-1 conic programming. Math. Program. 104 (1) (2005)
Garud Iyengar, Wanmo Kang
Inverse conic programming with applications. Oper. Res. Lett. 33 (3) (2005)
Daniel Bienstock, Garud Iyengar
(1/?) iterations. STOC (2004)
Donald Goldfarb, Garud Iyengar
Robust convex quadratically constrained programs. Math. Program. 97 (3) (2003)
Donald Goldfarb, Garud Iyengar
Robust Portfolio Selection Problems. Math. Oper. Res. 28 (1) (2003)
Garud Iyengar, Mehmet Tolga Çezik
Cutting Planes for Mixed 0-1 Semidefinite Programs. IPCO (2001)
Garud Iyengar, Thomas M. Cover
Growth optimal investment in horse race markets with costs. IEEE Trans. Inf. Theory 46 (7) (2000)