Garud Iyengar

According to our database, Garud Iyengar authored at least 76 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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

Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization.

Garud Iyengar, Raghav Singal

CoRR, 2024

Layered Graph Security Games.

Jakub Cerný, Chun Kai Ling, Christian Kroer, Garud Iyengar

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Contested Logistics: A Game-Theoretic Approach.

Jakub Cerný, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer, Garud Iyengar

Proceedings of the Decision and Game Theory for Security - 15th International Conference, 2024

A Doubly Robust Approach to Sparse Reinforcement Learning.

Wonyoung Kim, Garud Iyengar, Assaf Zeevi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Economics of Permissioned Blockchain Adoption.

Garud Iyengar, Fahad Saleh, Jay Sethuraman, Wenjun Wang

Manag. Sci., June, 2023

Robust Inventory Management: A Cycle-Based Approach.

Yupeng Chen, Garud Iyengar, Chun Wang

Manuf. Serv. Oper. Manag., March, 2023

Scalable Computation of Causal Bounds.

Madhumitha Shridharan, Garud Iyengar

J. Mach. Learn. Res., 2023

Decentralized Finance: Protocols, Risks, and Governance.

Agostino Capponi, Garud Iyengar, Jay Sethuraman

Found. Trends Priv. Secur., 2023

Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization.

Garud Iyengar, Henry Lam, Tianyu Wang

CoRR, 2023

Pareto Front Identification with Regret Minimization.

Wonyoung Kim, Garud Iyengar, Assaf Zeevi

CoRR, 2023

Causal Bounds in Quasi-Markovian Graphs.

Madhumitha Shridharan, Garud Iyengar

Proceedings of the International Conference on Machine Learning, 2023

Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback.

Wonyoung Kim, Garud Iyengar, Assaf Zeevi

Proceedings of the International Conference on Machine Learning, 2023

Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation.

Garud Iyengar, Henry Lam, Tianyu Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

Online Assortment Optimization with Reusable Resources.

Xiao-Yue Gong, Vineet Goyal, Garud N. Iyengar, David Simchi-Levi, Rajan Udwani, Shuangyu Wang

Manag. Sci., 2022

Distributionally Robust End-to-End Portfolio Construction.

Giorgio Costa, Garud N. Iyengar

CoRR, 2022

2021

Multiregional Oligopoly with Capacity Constraints.

Humoud Alsabah, Benjamin Bernard, Agostino Capponi, Garud Iyengar, Jay Sethuraman

Manag. Sci., 2021

Asymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources.

Vineet Goyal, Garud Iyengar, Rajan Udwani

Proceedings of the Web and Internet Economics - 17th International Conference, 2021

Sparsity-Agnostic Lasso Bandit.

Min-hwan Oh, Garud Iyengar, Assaf Zeevi

Proceedings of the 38th International Conference on Machine Learning, 2021

Multinomial Logit Contextual Bandits: Provable Optimality and Practicality.

Min-hwan Oh, Garud Iyengar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Distributionally Robust Mechanism Design.

Çagil Koçyigit, Garud Iyengar, Daniel Kuhn, Wolfram Wiesemann

Manag. Sci., 2020

Online Allocation of Reusable Resources via Algorithms Guided by Fluid Approximations.

Vineet Goyal, Garud Iyengar, Rajan Udwani

CoRR, 2020

Online Allocation of Reusable Resources: Achieving Optimal Competitive Ratio.

Vineet Goyal, Garud Iyengar, Rajan Udwani

CoRR, 2020

2019

A One-Third Advice Rule Based on a Control-Theoretic Opinion Dynamics Model.

Yu Luo, Garud Iyengar, Venkat Venkatasubramanian

IEEE Trans. Comput. Soc. Syst., 2019

Thompson Sampling for Multinomial Logit Contextual Bandits.

Min-hwan Oh, Garud Iyengar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sequential Anomaly Detection using Inverse Reinforcement Learning.

Min-hwan Oh, Garud Iyengar

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Personalized Product Recommendation for Interactive Media.

Hal James Cooper, Garud Iyengar, Ching-Yung Lin

Proceedings of the Intelligent Human Systems Integration 2019, 2019

Deep Influence Diagrams: An Interpretable and Robust Decision Support System.

Hal James Cooper, Garud Iyengar, Ching-Yung Lin

Proceedings of the Business Information Systems - 22nd International Conference, 2019

2018

Social Influence Makes Self-Interested Crowds Smarter: An Optimal Control Perspective.

Yu Luo, Garud Iyengar, Venkat Venkatasubramanian

IEEE Trans. Comput. Soc. Syst., 2018

Passive Reaction Analysis for Grasp Stability.

Maximilian Haas-Heger, Garud Iyengar, Matei T. Ciocarlie

IEEE Trans Autom. Sci. Eng., 2018

Resource cost aware scheduling.

Rodrigo A. Carrasco, Garud Iyengar, Cliff Stein

Eur. J. Oper. Res., 2018

Directed Exploration in PAC Model-Free Reinforcement Learning.

Min-hwan Oh, Garud Iyengar

CoRR, 2018

Attainment Ratings for Graph-Query Recommendation.

Hal James Cooper, Garud Iyengar, Ching-Yung Lin

CoRR, 2018

Robust Implicit Backpropagation.

Francois Fagan, Garud Iyengar

CoRR, 2018

Unbiased scalable softmax optimization.

Francois Fagan, Garud Iyengar

CoRR, 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

Proceedings of the Robotics: Science and Systems XIV, 2018

Interpretable Robust Decision Making.

Hal James Cooper, Garud Iyengar, Ching-Yung Lin

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Modeling Multimodal Continuous Heterogeneity in Conjoint Analysis - A Sparse Learning Approach.

Yupeng Chen, Raghuram Iyengar, Garud Iyengar

Mark. Sci., 2017

Linear Convergence of Stochastic Frank Wolfe Variants.

Donald Goldfarb, Garud Iyengar, Chaoxu Zhou

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

A Near-Optimal Maintenance Policy for Automated DR Devices.

Carlos Abad, Garud Iyengar

IEEE Trans. Smart Grid, 2016

Tax-Aware Dynamic Asset Allocation.

Martin Haugh, Garud Iyengar, Chun Wang

Oper. Res., 2016

On the Distinction between Active and Passive Reaction in Grasp Stability Analysis.

Maximilian Haas-Heger, Garud Iyengar, Matei T. Ciocarlie

Proceedings of the Algorithmic Foundations of Robotics XII, 2016

2015

Portfolio Selection with Multiple Spectral Risk Constraints.

Carlos Abad, Garud Iyengar

SIAM J. Financial Math., 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

An alternating direction method with increasing penalty for stable principal component pursuit.

Necdet S. Aybat, Garud Iyengar

Comput. Optim. Appl., 2015

An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization.

Necdet S. Aybat, Zi Wang, Garud Iyengar

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

A unified approach for minimizing composite norms.

Necdet S. Aybat, Garud Iyengar

Math. Program., 2014

Optimal price rebates for demand response under power flow constraints.

Vineet Goyal, Garud Iyengar, Quique Schwarz, Shuangyu Wang

Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

2013

Single machine scheduling with job-dependent convex cost and arbitrary precedence constraints.

Rodrigo A. Carrasco, Garud Iyengar, Cliff Stein

Oper. Res. Lett., 2013

An Axiomatic Approach to Systemic Risk.

Chen Chen, Garud Iyengar, Ciamac C. Moallemi

Manag. Sci., 2013

Fast gradient descent method for Mean-CVaR optimization.

Garud Iyengar, Alfred Ka Chun Ma

Ann. Oper. Res., 2013

Near-optimal execution policies for demand-response contracts in electricity markets.

Vineet Goyal, Garud Iyengar, Zhen Qiu

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

A First-Order Augmented Lagrangian Method for Compressed Sensing.

Necdet S. Aybat, Garud Iyengar

SIAM J. Optim., 2012

2011

Approximating Semidefinite Packing Programs.

Garud Iyengar, David J. Phillips, Clifford Stein

SIAM J. Optim., 2011

A First-Order Smoothed Penalty Method for Compressed Sensing.

Necdet S. Aybat, Garud Iyengar

SIAM J. Optim., 2011

Inequality and network structure.

Willemien Kets, Garud Iyengar, Rajiv Sethi, Samuel Bowles

Games Econ. Behav., 2011

Energy Aware Scheduling for Weighted Completion Time and Weighted Tardiness

Rodrigo A. Carrasco, Garud Iyengar, Clifford Stein

CoRR, 2011

2010

Feasible and Accurate Algorithms for Covering Semidefinite Programs.

Garud Iyengar, David J. Phillips, Clifford Stein

Proceedings of the Algorithm Theory, 2010

2007

On two-stage convex chance constrained problems.

Emre Erdogan, Garud Iyengar

Math. Methods Oper. Res., 2007

Models of malicious behavior in sponsored search.

Garud Iyengar, David J. Phillips, Clifford Stein

Proceedings of the 2007 Spring Simulation Multiconference, 2007

An equilibrium model for matching impatient demand and patient supply over time.

Garud Iyengar, Anuj Kumar

Proceedings of the Proceedings 8th ACM Conference on Electronic Commerce (EC-2007), 2007

2006

An Active Set Method for Single-Cone Second-Order Cone Programs.

Emre Erdogan, Garud Iyengar

SIAM J. Optim., 2006

Approximating Fractional Packings and Coverings in O(1/epsilon) Iterations.

Daniel Bienstock, Garud Iyengar

SIAM J. Comput., 2006

Ambiguous chance constrained problems and robust optimization.

Emre Erdogan, Garud Iyengar

Math. Program., 2006

Characterizing Optimal Adword Auctions

Garud Iyengar, Anuj Kumar

CoRR, 2006

2005

Inverse conic programming with applications.

Garud Iyengar, Wanmo Kang

Oper. Res. Lett., 2005

Cuts for mixed 0-1 conic programming.

Mehmet Tolga Çezik, Garud Iyengar

Math. Program., 2005

Robust Dynamic Programming.

Garud N. Iyengar

Math. Oper. Res., 2005

Approximation Algorithms for Semidefinite Packing Problems with Applications to Maxcut and Graph Coloring.

Garud Iyengar, David J. Phillips, Clifford Stein

Proceedings of the Integer Programming and Combinatorial Optimization, 2005

2004

Solving fractional packing problems in <i>O</i>^ast(1/?) iterations.

Daniel Bienstock, Garud Iyengar

Proceedings of the 36th Annual ACM Symposium on Theory of Computing, 2004

2003

Robust convex quadratically constrained programs.

Donald Goldfarb, Garud Iyengar

Math. Program., 2003

Robust Portfolio Selection Problems.

Donald Goldfarb, Garud Iyengar

Math. Oper. Res., 2003

2001

Cutting Planes for Mixed 0-1 Semidefinite Programs.

Garud Iyengar, Mehmet Tolga Çezik

Proceedings of the Integer Programming and Combinatorial Optimization, 2001

2000

Growth optimal investment in horse race markets with costs.

Garud Iyengar, Thomas M. Cover

IEEE Trans. Inf. Theory, 2000

1998

A new method of channel shortening with applications to discrete multi-tone (DMT) systems.

Debajyoti Pal, Garud N. Iyengar, John M. Cioffi

Proceedings of the 1998 IEEE International Conference on Communications, 1998