Shipra Agrawal

Shipra Agrawal

Columbia University in the City of New York

H-index: 27

North America-United States

About Shipra Agrawal

Shipra Agrawal, With an exceptional h-index of 27 and a recent h-index of 22 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of multi-armed bandits, reinforcement learning, online and stochastic optmization.

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

Dynamic Pricing and Learning with Bayesian Persuasion

Dynamic Pricing and Learning with Long-term Reference Effects

Regret Bounds for Optimistic Follow The Leader: Applications in Portfolio Selection and Linear Regression

Algorithmic Learning Theory 2023: Preface

Online Allocation and Learning in the Presence of Strategic Agents

The MNL-bandit problem

The Stochastic Multi-Armed Bandit Problem

Scale-free adversarial multi armed bandits

Shipra Agrawal Information

University

Position

___

Citations(all)

6318

Citations(since 2020)

4373

Cited By

3759

hIndex(all)

27

hIndex(since 2020)

22

i10Index(all)

38

i10Index(since 2020)

29

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

Shipra Agrawal Skills & Research Interests

multi-armed bandits

reinforcement learning

online and stochastic optmization

Top articles of Shipra Agrawal

Title

Journal

Author(s)

Publication Date

Dynamic Pricing and Learning with Bayesian Persuasion

Advances in Neural Information Processing Systems

Shipra Agrawal

Yiding Feng

Wei Tang

2024/2/13

Dynamic Pricing and Learning with Long-term Reference Effects

arXiv preprint arXiv:2402.12562

Shipra Agrawal

Wei Tang

2024/2/19

Regret Bounds for Optimistic Follow The Leader: Applications in Portfolio Selection and Linear Regression

Sudeep Raja Putta

Shipra Agrawal

2023/12/13

Algorithmic Learning Theory 2023: Preface

Shipra Agrawal

Francesco Orabona

2023/2/13

Online Allocation and Learning in the Presence of Strategic Agents

Advances in Neural Information Processing Systems

Steven Yin

Shipra Agrawal

Assaf Zeevi

2022/12/6

The MNL-bandit problem

Shipra Agrawal

Vashist Avadhanula

Vineet Goyal

Assaf Zeevi

2022/4/12

The Stochastic Multi-Armed Bandit Problem

Shipra Agrawal

2022/4/12

Scale-free adversarial multi armed bandits

Sudeep Raja Putta

Shipra Agrawal

2022/3/20

Dynamic pricing and learning under the bass model

Shipra Agrawal

Steven Yin

Assaf Zeevi

2021/7/18

Robust Repeated First Price Auctions

Shipra Agrawal

Eric Balkanski

Vahab Mirrokni

Balasubramanian Sivan

2021/7/18

Reinforcement learning for integer programming: Learning to cut

Yunhao Tang

Shipra Agrawal

Yuri Faenza

2020/11/21

On optimal ordering in the optimal stopping problem

Shipra Agrawal

Jay Sethuraman

Xingyu Zhang

2020/7/13

Discretizing continuous action space for on-policy optimization

Proceedings of the aaai conference on artificial intelligence

Yunhao Tang

Shipra Agrawal

2020/4/3

Spectral bandits

Journal of Machine Learning Research

Tomáš Kocák

Rémi Munos

Branislav Kveton

Shipra Agrawal

Michal Valko

2020

See List of Professors in Shipra Agrawal University(Columbia University in the City of New York)

Co-Authors

H-index: 82
Yinyu Ye

Yinyu Ye

Stanford University

H-index: 57
Amin Saberi

Amin Saberi

Stanford University

H-index: 23
Erick Delage

Erick Delage

HEC Montréal

H-index: 11
Yichuan Ding

Yichuan Ding

McGill University

H-index: 7
Vijay Krishnan

Vijay Krishnan

Stanford University

H-index: 7
Tomáš Kocák

Tomáš Kocák

École Normale Supérieure de Lyon

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