Ambuj Tewari | अम्बुज तिवारी

Ambuj Tewari | अम्बुज तिवारी

University of Michigan

H-index: 54

North America-United States

About Ambuj Tewari | अम्बुज तिवारी

Ambuj Tewari | अम्बुज तिवारी, With an exceptional h-index of 54 and a recent h-index of 47 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Machine Learning, Statistics, Data Science, Sequential Decision Making, Optimization.

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

Joint learning of linear time-invariant dynamical systems

Online Infinite-Dimensional Regression: Learning Linear Operators

Optimal Thresholding Linear Bandit

Sequence length independent norm-based generalization bounds for transformers

Multiclass online learnability under bandit feedback

The Complexity of Sequential Prediction in Dynamical Systems

Conformal contextual robust optimization

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks

Ambuj Tewari | अम्बुज तिवारी Information

University

Position

Associate Professor Department of Statistics and Department of EECS

Citations(all)

13063

Citations(since 2020)

8563

Cited By

7986

hIndex(all)

54

hIndex(since 2020)

47

i10Index(all)

121

i10Index(since 2020)

105

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Ambuj Tewari | अम्बुज तिवारी Skills & Research Interests

Machine Learning

Statistics

Data Science

Sequential Decision Making

Optimization

Top articles of Ambuj Tewari | अम्बुज तिवारी

Title

Journal

Author(s)

Publication Date

Joint learning of linear time-invariant dynamical systems

arXiv preprint arXiv:2112.10955

Aditya Modi

Mohamad Kazem Shirani Faradonbeh

Ambuj Tewari

George Michailidis

2021/12/21

Online Infinite-Dimensional Regression: Learning Linear Operators

arXiv preprint arXiv:2309.06548

Vinod Raman

Unique Subedi

Ambuj Tewari

2023/9/8

Optimal Thresholding Linear Bandit

arXiv preprint arXiv:2402.09467

Eduardo Ochoa Rivera

Ambuj Tewari

2024/2/11

Sequence length independent norm-based generalization bounds for transformers

Jacob Trauger

Ambuj Tewari

2024/4/18

Multiclass online learnability under bandit feedback

Ananth Raman

Vinod Raman

Unique Subedi

Idan Mehalel

Ambuj Tewari

2024/3/15

The Complexity of Sequential Prediction in Dynamical Systems

arXiv preprint arXiv:2402.06614

Vinod Raman

Unique Subedi

Ambuj Tewari

2024/2/9

Conformal contextual robust optimization

Yash P Patel

Sahana Rayan

Ambuj Tewari

2024/4/18

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks

arXiv preprint arXiv:2403.01636

Ziping Xu

Zifan Xu

Runxuan Jiang

Peter Stone

Ambuj Tewari

2024/3/3

A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Low-Rank MDPs

arXiv preprint arXiv:2402.04493

Kihyuk Hong

Ambuj Tewari

2024/2/7

A primal-dual-critic algorithm for offline constrained reinforcement learning

Kihyuk Hong

Yuhang Li

Ambuj Tewari

2024/4/18

On proper learnability between average-and worst-case robustness

Advances in Neural Information Processing Systems

Vinod Raman

Unique Subedi

Ambuj Tewari

2024/2/13

A Framework for Partially Observed Reward-States in RLHF

arXiv preprint arXiv:2402.03282

Chinmaya Kausik

Mirco Mutti

Aldo Pacchiano

Ambuj Tewari

2024/2/5

Offline policy evaluation and optimization under confounding

Chinmaya Kausik

Yangyi Lu

Kevin Tan

Maggie Makar

Yixin Wang

...

2024/4/18

On the Learnability of Multilabel Ranking

Advances in Neural Information Processing Systems

Vinod Raman

Unique Subedi

Ambuj Tewari

2024/2/13

Examining the Impact of Local Condition Violations on Energy Computations in DFT

arXiv preprint arXiv:2403.14073

Vaibhav Khanna

Bikash Kanungo

Vikram Gavini

Ambuj Tewari

Paul M Zimmerman

2024/3/21

Coupling Semi-supervised Learning with Reinforcement Learning for Better Decision Making---An application to Cryo-EM Data Collection

Ziping Xu

Quanfu Fan

Yilai Li

Emma Rose Lee

John Maxwell Cohn

...

2023/10/28

Learning mixtures of Markov chains and MDPs

Chinmaya Kausik

Kevin Tan

Ambuj Tewari

2023/7/3

A meta-analysis of RNA-Seq studies to identify novel genes that regulate aging

Experimental gerontology

Mohamad D Bairakdar

Ambuj Tewari

Matthias C Truttmann

2023/3/1

A Characterization of Multioutput Learnability

arXiv preprint arXiv:2301.02729

Vinod Raman

Unique Subedi

Ambuj Tewari

2023/1/6

Variational Inference with Coverage Guarantees

arXiv preprint arXiv:2305.14275

Yash Patel

Declan McNamara

Jackson Loper

Jeffrey Regier

Ambuj Tewari

2023/5/23

See List of Professors in Ambuj Tewari | अम्बुज तिवारी University(University of Michigan)

Co-Authors

H-index: 90
Sham M Kakade

Sham M Kakade

University of Washington

H-index: 83
Peter Bartlett

Peter Bartlett

University of California, Berkeley

H-index: 65
Susan Murphy

Susan Murphy

Harvard University

H-index: 61
Shai Shalev-Shwartz

Shai Shalev-Shwartz

Hebrew University of Jerusalem

H-index: 54
Pradeep Ravikumar

Pradeep Ravikumar

Carnegie Mellon University

H-index: 52
Alexander Rakhlin

Alexander Rakhlin

Massachusetts Institute of Technology

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