Sivaraman Balakrishnan

Sivaraman Balakrishnan

Carnegie Mellon University

H-index: 33

North America-United States

About Sivaraman Balakrishnan

Sivaraman Balakrishnan, With an exceptional h-index of 33 and a recent h-index of 29 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Statistics, Machine Learning.

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

Causal Inference with High-dimensional Discrete Covariates

Double Cross-fit Doubly Robust Estimators: Beyond Series Regression

Semi-Supervised U-statistics

Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift

Online label shift: Optimal dynamic regret meets practical algorithms

Nearly Minimax Optimal Wasserstein Conditional Independence Testing

Conditional Independence Testing for Discrete Distributions: Beyond - and -tests

Robust Universal Inference

Sivaraman Balakrishnan Information

University

Position

___

Citations(all)

5111

Citations(since 2020)

3845

Cited By

2727

hIndex(all)

33

hIndex(since 2020)

29

i10Index(all)

57

i10Index(since 2020)

53

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Sivaraman Balakrishnan Skills & Research Interests

Statistics

Machine Learning

Top articles of Sivaraman Balakrishnan

Title

Journal

Author(s)

Publication Date

Causal Inference with High-dimensional Discrete Covariates

arXiv preprint arXiv:2405.00118

Zhenghao Zeng

Sivaraman Balakrishnan

Yanjun Han

Edward H Kennedy

2024/4/30

Double Cross-fit Doubly Robust Estimators: Beyond Series Regression

arXiv preprint arXiv:2403.15175

Alec McClean

Sivaraman Balakrishnan

Edward H Kennedy

Larry Wasserman

2024/3/22

Semi-Supervised U-statistics

arXiv preprint arXiv:2402.18921

Ilmun Kim

Larry Wasserman

Sivaraman Balakrishnan

Matey Neykov

2024/2/29

Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift

Advances in Neural Information Processing Systems

Saurabh Garg

Amrith Setlur

Zachary Lipton

Sivaraman Balakrishnan

Virginia Smith

...

2024/2/13

Online label shift: Optimal dynamic regret meets practical algorithms

Advances in Neural Information Processing Systems (NeurIPS), 2023, Spotlight

Dheeraj Baby*

Saurabh Garg*

Tzu-Ching Yen*

Sivaraman Balakrishnan

Zachary Chase Lipton

...

2023/5/31

Nearly Minimax Optimal Wasserstein Conditional Independence Testing

arXiv preprint arXiv:2308.08672

Matey Neykov

Larry Wasserman

Ilmun Kim

Sivaraman Balakrishnan

2023/8/16

Conditional Independence Testing for Discrete Distributions: Beyond - and -tests

arXiv preprint arXiv:2308.05373

Ilmun Kim

Matey Neykov

Sivaraman Balakrishnan

Larry Wasserman

2023/8/10

Robust Universal Inference

arXiv preprint arXiv:2307.04034

Beomjo Park

Sivaraman Balakrishnan

Larry Wasserman

2023/7/8

Rlsbench: Domain adaptation under relaxed label shift

Saurabh Garg

Nick Erickson

James Sharpnack

Alex Smola

Sivaraman Balakrishnan

...

2023/2/6

Gaussian universal likelihood ratio testing

Biometrika

Robin Dunn

Aaditya Ramdas

Sivaraman Balakrishnan

Larry Wasserman

2023/6/1

The fundamental limits of structure-agnostic functional estimation

arXiv preprint arXiv:2305.04116

Sivaraman Balakrishnan

Edward H Kennedy

Larry Wasserman

2023/5/6

The HulC: confidence regions from convex hulls

Journal of the Royal Statistical Society Series B: Statistical Methodology

Arun Kumar Kuchibhotla

Sivaraman Balakrishnan

Larry Wasserman

2023/12/26

Domain adaptation under missingness shift

Helen Zhou

Sivaraman Balakrishnan

Zachary Lipton

2023/4/11

Central limit theorems for smooth optimal transport maps

arXiv preprint arXiv:2312.12407

Tudor Manole

Sivaraman Balakrishnan

Jonathan Niles-Weed

Larry Wasserman

2023/12/19

A Discussion of “A Note on Universal Inference” by Tse and Davison

Stat

Larry Wasserman

Aaditya Ramdas

Sivaraman Balakrishnan

2023/1

Semiparametric counterfactual density estimation

Biometrika

Edward H Kennedy

Sivaraman Balakrishnan

LA Wasserman

2023/12/1

Conservative inference for counterfactuals

arXiv preprint arXiv:2310.12757

Sivaraman Balakrishnan

Edward Kennedy

Larry Wasserman

2023/10/19

Causal effect estimation after propensity score trimming with continuous treatments

arXiv preprint arXiv:2309.00706

Zach Branson

Edward H Kennedy

Sivaraman Balakrishnan

Larry Wasserman

2023/9/1

Median regularity and honest inference

Biometrika

Arun Kumar Kuchibhotla

Sivaraman Balakrishnan

Larry Wasserman

2023/9/1

Minimax optimal regression over Sobolev spaces via Laplacian Eigenmaps on neighbourhood graphs

Information and Inference: A Journal of the IMA

Alden Green

Sivaraman Balakrishnan

Ryan J Tibshirani

2023/9

See List of Professors in Sivaraman Balakrishnan University(Carnegie Mellon University)

Co-Authors

H-index: 89
Larry Wasserman

Larry Wasserman

Carnegie Mellon University

H-index: 79
Bin YU

Bin YU

University of California, Berkeley

H-index: 54
Pradeep Ravikumar

Pradeep Ravikumar

Carnegie Mellon University

H-index: 53
Zachary C. Lipton

Zachary C. Lipton

Carnegie Mellon University

H-index: 45
Aarti Singh

Aarti Singh

Carnegie Mellon University

H-index: 45
Simon Shaolei Du

Simon Shaolei Du

University of Washington

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