A new method of channel shortening with applications to discrete multi-tone (DMT) systems. - Debajyoti Pal; Garud N. Iyengar; John M. Cioffi (ICC, 1998)

Growth optimal investment in horse race markets with costs. - Garud Iyengar; Thomas M. Cover (IEEE Trans. Inf. Theory, 2000)

Cutting Planes for Mixed 0-1 Semidefinite Programs. - Garud Iyengar; Mehmet Tolga Çezik (IPCO, 2001)

Robust Portfolio Selection Problems. - Donald Goldfarb; Garud Iyengar (Math. Oper. Res., 2003)

Robust convex quadratically constrained programs. - Donald Goldfarb; Garud Iyengar (Math. Program., 2003)

Solving fractional packing problems in Oast(1/?) iterations. - Daniel Bienstock; Garud Iyengar (STOC, 2004)

Approximation Algorithms for Semidefinite Packing Problems with Applications to Maxcut and Graph Coloring. - Garud Iyengar; David J. Phillips; Clifford Stein 001 (IPCO, 2005)

Robust Dynamic Programming. - Garud N. Iyengar (Math. Oper. Res., 2005)

Cuts for mixed 0-1 conic programming. - Mehmet Tolga Çezik; Garud Iyengar (Math. Program., 2005)

Inverse conic programming with applications. - Garud Iyengar; Wanmo Kang (Oper. Res. Lett., 2005)

Characterizing Optimal Adword Auctions - Garud Iyengar; Anuj Kumar (CoRR, 2006)

Ambiguous chance constrained problems and robust optimization. - Emre Erdogan; Garud Iyengar (Math. Program., 2006)

Approximating Fractional Packings and Coverings in O(1/epsilon) Iterations. - Daniel Bienstock; Garud Iyengar (SIAM J. Comput., 2006)

An Active Set Method for Single-Cone Second-Order Cone Programs. - Emre Erdogan; Garud Iyengar (SIAM J. Optim., 2006)

An equilibrium model for matching impatient demand and patient supply over time. - Garud Iyengar; Anuj Kumar (EC, 2007)

Models of malicious behavior in sponsored search. - Garud Iyengar; David J. Phillips; Clifford Stein 001 (SpringSim (3), 2007)

On two-stage convex chance constrained problems. - Emre Erdogan; Garud Iyengar (Math. Methods Oper. Res., 2007)

Feasible and Accurate Algorithms for Covering Semidefinite Programs. - Garud Iyengar; David J. Phillips; Clifford Stein 001 (SWAT, 2010)

Energy Aware Scheduling for Weighted Completion Time and Weighted Tardiness - Rodrigo A. Carrasco; Garud Iyengar; Clifford Stein 001 (CoRR, 2011)

Inequality and network structure. - Willemien Kets; Garud Iyengar; Rajiv Sethi; Samuel Bowles (Games Econ. Behav., 2011)

A First-Order Smoothed Penalty Method for Compressed Sensing. - Necdet S. Aybat; Garud Iyengar (SIAM J. Optim., 2011)

Approximating Semidefinite Packing Programs. - Garud Iyengar; David J. Phillips; Clifford Stein 001 (SIAM J. Optim., 2011)

A First-Order Augmented Lagrangian Method for Compressed Sensing. - Necdet S. Aybat; Garud Iyengar (SIAM J. Optim., 2012)

Near-optimal execution policies for demand-response contracts in electricity markets. - Vineet Goyal; Garud Iyengar; Zhen Qiu (CDC, 2013)

Fast gradient descent method for Mean-CVaR optimization. - Garud Iyengar; Alfred Ka Chun Ma (Ann. Oper. Res., 2013)

An Axiomatic Approach to Systemic Risk. - Chen Chen 026; Garud Iyengar; Ciamac C. Moallemi (Manag. Sci., 2013)

Single machine scheduling with job-dependent convex cost and arbitrary precedence constraints. - Rodrigo A. Carrasco; Garud Iyengar; Cliff Stein 001 (Oper. Res. Lett., 2013)

Optimal price rebates for demand response under power flow constraints. - Vineet Goyal; Garud Iyengar; Quique Schwarz; Shuangyu Wang (SmartGridComm, 2014)

A unified approach for minimizing composite norms. - Necdet S. Aybat; Garud Iyengar (Math. Program., 2014)

An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization. - Necdet S. Aybat; Zi Wang 007; Garud Iyengar (ICML, 2015)

An alternating direction method with increasing penalty for stable principal component pursuit. - Necdet S. Aybat; Garud Iyengar (Comput. Optim. Appl., 2015)

Efficient "Shotgun" Inference of Neural Connectivity from Highly Sub-sampled Activity Data. - Daniel Soudry; Suraj Keshri; Patrick Stinson; Min-hwan Oh; Garud Iyengar; Liam Paninski (PLoS Comput. Biol., 2015)

Portfolio Selection with Multiple Spectral Risk Constraints. - Carlos Abad; Garud Iyengar (SIAM J. Financial Math., 2015)

On the Distinction between Active and Passive Reaction in Grasp Stability Analysis. - Maximilian Haas-Heger; Garud Iyengar; Matei T. Ciocarlie (WAFR, 2016)

Tax-Aware Dynamic Asset Allocation. - Martin Haugh; Garud Iyengar; Chun Wang (Oper. Res., 2016)

A Near-Optimal Maintenance Policy for Automated DR Devices. - Carlos Abad; Garud Iyengar (IEEE Trans. Smart Grid, 2016)

Linear Convergence of Stochastic Frank Wolfe Variants. - Donald Goldfarb; Garud Iyengar; Chaoxu Zhou (AISTATS, 2017)

Modeling Multimodal Continuous Heterogeneity in Conjoint Analysis - A Sparse Learning Approach. - Yupeng Chen; Raghuram Iyengar; Garud Iyengar (Mark. Sci., 2017)

Interpretable Robust Decision Making. - Hal James Cooper; Garud Iyengar; Ching-Yung Lin (AAMAS, 2018)

Passive Static Equilibrium with Frictional Contacts and Application to Grasp Stability Analysis. - Maximilian Haas-Heger; Christos H. Papadimitriou; Mihalis Yannakakis; Garud Iyengar; Matei T. Ciocarlie (Robotics: Science and Systems, 2018)

Unbiased scalable softmax optimization. - Francois Fagan; Garud Iyengar (CoRR, 2018)

Robust Implicit Backpropagation. - Francois Fagan; Garud Iyengar (CoRR, 2018)

Attainment Ratings for Graph-Query Recommendation. - Hal James Cooper; Garud Iyengar; Ching-Yung Lin (CoRR, 2018)

Directed Exploration in PAC Model-Free Reinforcement Learning. - Min-hwan Oh; Garud Iyengar (CoRR, 2018)

Resource cost aware scheduling. - Rodrigo A. Carrasco; Garud Iyengar; Cliff Stein 001 (Eur. J. Oper. Res., 2018)

Passive Reaction Analysis for Grasp Stability. - Maximilian Haas-Heger; Garud Iyengar; Matei T. Ciocarlie (IEEE Trans Autom. Sci. Eng., 2018)

Social Influence Makes Self-Interested Crowds Smarter: An Optimal Control Perspective. - Yu Luo 003; Garud Iyengar; Venkat Venkatasubramanian (IEEE Trans. Comput. Soc. Syst., 2018)

Deep Influence Diagrams: An Interpretable and Robust Decision Support System. - Hal James Cooper; Garud Iyengar; Ching-Yung Lin (BIS (1), 2019)

Personalized Product Recommendation for Interactive Media. - Hal James Cooper; Garud Iyengar; Ching-Yung Lin (IHSI, 2019)

Sequential Anomaly Detection using Inverse Reinforcement Learning. - Min-hwan Oh; Garud Iyengar (KDD, 2019)

Thompson Sampling for Multinomial Logit Contextual Bandits. - Min-hwan Oh; Garud Iyengar (NeurIPS, 2019)

A One-Third Advice Rule Based on a Control-Theoretic Opinion Dynamics Model. - Yu Luo 003; Garud Iyengar; Venkat Venkatasubramanian (IEEE Trans. Comput. Soc. Syst., 2019)

Online Allocation of Reusable Resources: Achieving Optimal Competitive Ratio. - Vineet Goyal; Garud Iyengar; Rajan Udwani (CoRR, 2020)

Online Allocation of Reusable Resources via Algorithms Guided by Fluid Approximations. - Vineet Goyal; Garud Iyengar; Rajan Udwani (CoRR, 2020)

Distributionally Robust Mechanism Design. - Çagil Koçyigit; Garud Iyengar; Daniel Kuhn 001; Wolfram Wiesemann (Manag. Sci., 2020)

Multinomial Logit Contextual Bandits: Provable Optimality and Practicality. - Min-hwan Oh; Garud Iyengar (AAAI, 2021)

Sparsity-Agnostic Lasso Bandit. - Min-hwan Oh; Garud Iyengar; Assaf Zeevi (ICML, 2021)

Multiregional Oligopoly with Capacity Constraints. - Humoud Alsabah; Benjamin Bernard; Agostino Capponi; Garud Iyengar; Jay Sethuraman (Manag. Sci., 2021)

Distributionally Robust End-to-End Portfolio Construction. - Giorgio Costa; Garud N. Iyengar (CoRR, 2022)

Online Assortment Optimization with Reusable Resources. - Xiao-Yue Gong; Vineet Goyal; Garud N. Iyengar; David Simchi-Levi; Rajan Udwani; Shuangyu Wang (Manag. Sci., 2022)

Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising. - Raghav Singal; Omar Besbes; Antoine Désir; Vineet Goyal; Garud Iyengar (Manag. Sci., 2022)

Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation. - Garud Iyengar; Henry Lam; Tianyu Wang (AISTATS, 2023)

Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (ICML, 2023)

Causal Bounds in Quasi-Markovian Graphs. - Madhumitha Shridharan; Garud Iyengar (ICML, 2023)

Pareto Front Identification with Regret Minimization. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (CoRR, 2023)

Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization. - Garud Iyengar; Henry Lam; Tianyu Wang (CoRR, 2023)

Decentralized Finance: Protocols, Risks, and Governance. - Agostino Capponi; Garud Iyengar; Jay Sethuraman (Found. Trends Priv. Secur., 2023)

Scalable Computation of Causal Bounds. - Madhumitha Shridharan; Garud Iyengar (J. Mach. Learn. Res., 2023)

Robust Inventory Management: A Cycle-Based Approach. - Yupeng Chen; Garud Iyengar; Chun Wang (Manuf. Serv. Oper. Manag., 2023)

Economics of Permissioned Blockchain Adoption. - Garud Iyengar; Fahad Saleh; Jay Sethuraman; Wenjun Wang (Manag. Sci., 2023)

A Doubly Robust Approach to Sparse Reinforcement Learning. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (AISTATS, 2024)

Contested Logistics: A Game-Theoretic Approach. - Jakub Cerný; Chun Kai Ling; Darshan Chakrabarti; Jingwen Zhang; Gabriele Farina; Christian Kroer; Garud Iyengar (GameSec, 2024)

Layered Graph Security Games. - Jakub Cerný; Chun Kai Ling; Christian Kroer; Garud Iyengar (IJCAI, 2024)

Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance? - Garud Iyengar; Henry Lam; Tianyu Wang (NeurIPS, 2024)

Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization. - Garud Iyengar; Raghav Singal (CoRR, 2024)

Workforce Scheduling with Heterogeneous Time Preferences: Effective Wages and Workers' Supply. - Omar Besbes; Vineet Goyal; Garud Iyengar; Raghav Singal (Manuf. Serv. Oper. Manag., 2024)

Game-Theoretic Flux Balance Analysis Model for Predicting Stable Community Composition. - Garud Iyengar; Mitch Perry (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Learning the Pareto Front Using Bootstrapped Observation Samples. - Wonyoung Kim; Garud Iyengar; Assaf Zeevi (AISTATS, 2025)

β-th order Acyclicity Derivatives for DAG Learning. - Madhumitha Shridharan; Garud Iyengar (AISTATS, 2025)

Asymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources. - Vineet Goyal; Garud Iyengar; Rajan Udwani (Oper. Res., 2025)

Linear Bandits with Partially Observable Features. - Wonyoung Kim; Sungwoo Park; Garud Iyengar; Assaf Zeevi; Min-hwan Oh (CoRR, 2025)

Contested Route Planning. - Jakub Cerný; Garud Iyengar; Christian Kroer (CoRR, 2025)