Aarti Singh

Aarti Singh

Carnegie Mellon University

H-index: 45

North America-United States

About Aarti Singh

Aarti Singh, With an exceptional h-index of 45 and a recent h-index of 34 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, Signal Processing, Statistics, Networks.

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

Out of Domain Stress Prediction on a Dataset of Simulated 3D Polycrystalline Microstructures

Predicting the Initial Conditions of the Universe using a Deterministic Neural Network

Adaptation to Misspecified Kernel Regularization in Kernelised Bandits

Complete Policy Regret Bounds for Tallying Bandits

Integrating Rankings into Quantized Scores in Peer Review

Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions

Classification accuracy as a proxy for two-sample testing

Best Arm Identification under Additive Transfer Bandits

Aarti Singh Information

University

Position

Associate Professor of Machine Learning Department

Citations(all)

7248

Citations(since 2020)

4550

Cited By

4906

hIndex(all)

45

hIndex(since 2020)

34

i10Index(all)

105

i10Index(since 2020)

81

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Aarti Singh Skills & Research Interests

Machine Learning

Signal Processing

Statistics

Networks

Top articles of Aarti Singh

Title

Journal

Author(s)

Publication Date

Out of Domain Stress Prediction on a Dataset of Simulated 3D Polycrystalline Microstructures

Thomas Lu

Aarti Singh

2023/11/3

Predicting the Initial Conditions of the Universe using a Deterministic Neural Network

Vaibhav Jindal

Albert Liang

Aarti Singh

Shirley Ho

Drew Jamieson

2023/10/28

Adaptation to Misspecified Kernel Regularization in Kernelised Bandits

Proceedings of the International Workshop on Artificial Intelligence and Statistics

Yusha Liu

Aarti Singh

2023/1

Complete Policy Regret Bounds for Tallying Bandits

arXiv preprint arXiv:2204.11174

Dhruv Malik

Yuanzhi Li

Aarti Singh

2022/4/24

Integrating Rankings into Quantized Scores in Peer Review

arXiv preprint arXiv:2204.03505

Yusha Liu

Yichong Xu

Nihar B Shah

Aarti Singh

2022/4/5

Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions

Journal of Machine Learning Research

Charvi Rastogi

Sivaraman Balakrishnan

Nihar B Shah

Aarti Singh

2022

Classification accuracy as a proxy for two-sample testing

The Annals of Statistics

Ilmun Kim

Aaditya Ramdas

Aarti Singh

Larry Wasserman

2021/2

Best Arm Identification under Additive Transfer Bandits

Ojash Neopane

Aaditya Ramdas

Aarti Singh

2021

PeerReview4All: fair and accurate reviewer assignment in peer review

Journal of Machine Learning Research

Ivan Stelmakh

Nihar Shah

Aarti Singh

2021

Local signal adaptivity: Provable feature learning in neural networks beyond kernels

Advances in Neural Information Processing Systems

Stefani Karp

Ezra Winston

Yuanzhi Li

Aarti Singh

2021/12/6

Prior and Prejudice: The Novice Reviewers' Bias against Resubmissions in Conference Peer Review

Proceedings of the ACM on Human-Computer Interaction

Ivan Stelmakh

Nihar B Shah

Aarti Singh

Hal Daumé III

2021/4/22

Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information

Journal of machine learning research

Yichong Xu

Sivaraman Balakrishnan

Aarti Singh

Artur Dubrawski

2020

Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment

arXiv preprint arXiv:2010.04041

Ivan Stelmakh

Nihar B Shah

Aarti Singh

2020/10/8

Zeroth Order Non-convex optimization with Dueling-Choice Bandits

Yichong Xu

Aparna Joshi

Aarti Singh

Artur Dubrawski

2020/8/27

Two-Sample Testing on Pairwise Comparison Data and the Role of Modeling Assumptions

Charvi Rastogi

Sivaraman Balakrishnan

Nihar Shah

Aarti Singh

2020/6/21

Smooth Bandit Optimization: Generalization to H\" older Space

arXiv preprint arXiv:2012.06076

Yusha Liu

Yining Wang

Aarti Singh

2020/12/11

Preference-based Reinforcement Learning with Finite-Time Guarantees

arXiv preprint arXiv:2006.08910

Yichong Xu

Ruosong Wang

Lin F Yang

Aarti Singh

Artur Dubrawski

2020/6/16

A large scale randomized controlled trial on herding in peer-review discussions

Ivan Stelmakh

Charvi Rastogi

Nihar B Shah

Aarti Singh

Hal Daumé III

2020/11/30

Thresholding bandit problem with both duels and pulls

Yichong Xu

Xi Chen

Aarti Singh

Artur Dubrawski

2020/6/3

A novice-reviewer experiment to address scarcity of qualified reviewers in large conferences

arXiv preprint arXiv:2011.15050

Ivan Stelmakh

Nihar B Shah

Aarti Singh

Hal Daumé III

2020/11/30

See List of Professors in Aarti Singh University(Carnegie Mellon University)

Co-Authors

H-index: 90
Robert D Nowak

Robert D Nowak

University of Wisconsin-Madison

H-index: 89
Larry Wasserman

Larry Wasserman

Carnegie Mellon University

H-index: 68
Barnabas Poczos

Barnabas Poczos

Carnegie Mellon University

H-index: 41
Akshay Krishnamurthy

Akshay Krishnamurthy

University of Massachusetts Amherst

H-index: 39
Aaditya Ramdas

Aaditya Ramdas

Carnegie Mellon University

H-index: 33
Sivaraman Balakrishnan

Sivaraman Balakrishnan

Carnegie Mellon University

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