Garud N. Iyengar

Garud N. Iyengar

Columbia University in the City of New York

H-index: 34

North America-United States

About Garud N. Iyengar

Garud N. Iyengar, With an exceptional h-index of 34 and a recent h-index of 23 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Doubly Robust Approach to Sparse Reinforcement Learning

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

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

Pareto front identification with regret minimization

Multi-Item Inventory Systems with Joint Expected Value and Chance Constraints: Asymptotically Optimal Heuristics

Virtual Trading in a Multi-Settlement Electricity Market

Hedging against complexity: Distributionally robust optimization with parametric approximation

Causal bounds in quasi-Markovian graphs

Garud N. Iyengar Information

University

Position

___

Citations(all)

5608

Citations(since 2020)

2616

Cited By

4110

hIndex(all)

34

hIndex(since 2020)

23

i10Index(all)

72

i10Index(since 2020)

45

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

Garud N. Iyengar Skills & Research Interests

Optimization

Top articles of Garud N. Iyengar

Title

Journal

Author(s)

Publication Date

A Doubly Robust Approach to Sparse Reinforcement Learning

arXiv preprint arXiv:2310.15286

Wonyoung Kim

Garud Iyengar

Assaf Zeevi

2023/10/23

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

Production and Operations Management

Garud Iyengar

Raghav Singal

2024/2/5

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

Production and Operations Management

Garud Iyengar

Raghav Singal

2024/2/5

Pareto front identification with regret minimization

arXiv preprint arXiv:2306.00096

Wonyoung Kim

Garud Iyengar

Assaf Zeevi

2023/5/31

Multi-Item Inventory Systems with Joint Expected Value and Chance Constraints: Asymptotically Optimal Heuristics

Available at SSRN 4595318

Awi Federgruen

Daniel Guetta

Garud Iyengar

Xujia Liu

2023/8/3

Virtual Trading in a Multi-Settlement Electricity Market

Available at SSRN 4641966

Agostino Capponi

Garud Iyengar

Bo Yang

Daniel Bienstock

2023/11/23

Hedging against complexity: Distributionally robust optimization with parametric approximation

Garud Iyengar

Henry Lam

Tianyu Wang

2023/4/11

Causal bounds in quasi-Markovian graphs

Madhumitha Shridharan

Garud Iyengar

2023/7/3

Blockchain adoption in a supply chain with manufacturer market power

Management Science

Garud Iyengar

Fahad Saleh

Jay Sethuraman

Wenjun Wang

2023/10/27

Robust inventory management: A cycle-based approach

Manufacturing & Service Operations Management

Yupeng Chen

Garud Iyengar

Chun Wang

2023

Improved algorithms for multi-period multi-class packing problems with bandit feedback

arXiv preprint arXiv:2301.13791

Wonyoung Kim

Garud Iyengar

Assaf Zeevi

2023/1/31

Distributionally robust end-to-end portfolio construction

Quantitative Finance

Giorgio Costa

Garud N Iyengar

2023/7/19

The Distributional Effects of'Fulfilled By Amazon'(FBA).

Garud Iyengar

Yuanzhe Ma

Thomas J Rivera

Fahad Saleh

Jay Sethuraman

2023/2/21

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

arXiv preprint arXiv:2306.10081

Garud Iyengar

Henry Lam

Tianyu Wang

2023/6/16

Scalable approximately optimal policies for multi-item stochastic inventory problems

Available at SSRN 4595316

Awi Federgruen

Daniel Guetta

Garud Iyengar

Xujia Liu

2023/9/6

Scalable computation of causal bounds

The Journal of Machine Learning Research

Madhumitha Shridharan

Garud Iyengar

2023/1/1

Economics of permissioned blockchain adoption

Management Science

Garud Iyengar

Fahad Saleh

Jay Sethuraman

Wenjun Wang

2023

Decentralized finance: Protocols, risks, and governance

Foundations and Trends® in Privacy and Security

Agostino Capponi

Garud Iyengar

Jay Sethuraman

2023/9/5

Cellular costs in the synthesis of glycan information

APS March Meeting Abstracts

Alkesh Yadav

Garud Iyengar

Madan Rao

2022

Hedging Complexity in Generalization via a Parametric Distributionally Robust Optimization Framework

arXiv preprint arXiv:2212.01518

Garud Iyengar

Henry Lam

Tianyu Wang

2022/12/3

See List of Professors in Garud N. Iyengar University(Columbia University in the City of New York)