Aaditya Ramdas

Aaditya Ramdas

Carnegie Mellon University

H-index: 39

North America-United States

About Aaditya Ramdas

Aaditya Ramdas, With an exceptional h-index of 39 and a recent h-index of 37 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, Statistics.

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

Graph fission and cross-validation

The numeraire e-variable and reverse information projection

Testing exchangeability by pairwise betting

Merging uncertainty sets via majority vote

Combining Evidence Across Filtrations

Differentially private conditional independence testing

Sequential permutation testing by betting

Authors' reply to the Discussion of ‘Estimating means of bounded random variables by betting’

Aaditya Ramdas Information

University

Position

Statistics and Machine Learning

Citations(all)

5646

Citations(since 2020)

4952

Cited By

2085

hIndex(all)

39

hIndex(since 2020)

37

i10Index(all)

92

i10Index(since 2020)

88

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Aaditya Ramdas Skills & Research Interests

Machine Learning

Statistics

Top articles of Aaditya Ramdas

Title

Journal

Author(s)

Publication Date

Graph fission and cross-validation

arXiv preprint arXiv:2401.15063

James Leiner

Aaditya Ramdas

2024/1/26

The numeraire e-variable and reverse information projection

arXiv preprint arXiv:2402.18810

Martin Larsson

Aaditya Ramdas

Johannes Ruf

2024/2/29

Testing exchangeability by pairwise betting

Aytijhya Saha

Aaditya Ramdas

2024/4/18

Merging uncertainty sets via majority vote

arXiv preprint arXiv:2401.09379

Matteo Gasparin

Aaditya Ramdas

2024/1/17

Combining Evidence Across Filtrations

arXiv preprint arXiv:2402.09698

Yo Joong Choe

Aaditya Ramdas

2024/2/15

Differentially private conditional independence testing

Iden Kalemaj

Shiva Kasiviswanathan

Aaditya Ramdas

2024/4/18

Sequential permutation testing by betting

arXiv preprint arXiv:2401.07365

Lasse Fischer

Aaditya Ramdas

2024/1/14

Authors' reply to the Discussion of ‘Estimating means of bounded random variables by betting’

Journal of the Royal Statistical Society Series B: Statistical Methodology

Ian Waudby-Smith

Aaditya Ramdas

2024/2

Combining exchangeable p-values

arXiv preprint arXiv:2404.03484

Matteo Gasparin

Ruodu Wang

Aaditya Ramdas

2024/4/4

Multiple testing with anytime-valid Monte-Carlo p-values

arXiv preprint arXiv:2404.15586

Lasse Fischer

Aaditya Ramdas

2024/4/24

Distribution-uniform strong laws of large numbers

arXiv preprint arXiv:2402.00713

Ian Waudby-Smith

Martin Larsson

Aaditya Ramdas

2024/2/1

Universal inference meets random projections: a scalable test for log-concavity

arXiv preprint arXiv:2111.09254

Robin Dunn

Aditya Gangrade

Larry Wasserman

Aaditya Ramdas

2021/11/17

Conformal online model aggregation

arXiv preprint arXiv:2403.15527

Matteo Gasparin

Aaditya Ramdas

2024/3/22

Online multiple testing with e-values

Ziyu Xu

Aaditya Ramdas

2024/4/18

Semiparametric efficient inference in adaptive experiments

Thomas Cook

Alan Mishler

Aaditya Ramdas

2024/3/15

Matrix Supermartingales and Randomized Matrix Concentration Inequalities

arXiv preprint arXiv:2401.15567

Hongjian Wang

Aaditya Ramdas

2024/1/28

Deep anytime-valid hypothesis testing

Teodora Pandeva

Patrick Forré

Aaditya Ramdas

Shubhanshu Shekhar

2024/4/18

Distribution-free prediction sets for two-layer hierarchical models

Journal of the American Statistical Association

Robin Dunn

Larry Wasserman

Aaditya Ramdas

2023/10/2

De Finetti's Theorem and Related Results for Infinite Weighted Exchangeable Sequences

arXiv preprint arXiv:2304.03927

Rina Foygel Barber

Emmanuel J Candes

Aaditya Ramdas

Ryan J Tibshirani

2023/4/8

A sequential test for log-concavity

arXiv preprint arXiv:2301.03542

Aditya Gangrade

Alessandro Rinaldo

Aaditya Ramdas

2023/1/9

See List of Professors in Aaditya Ramdas University(Carnegie Mellon University)

Co-Authors

H-index: 203
Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

H-index: 104
Emmanuel Candes

Emmanuel Candes

Stanford University

H-index: 89
Larry Wasserman

Larry Wasserman

Carnegie Mellon University

H-index: 68
Barnabas Poczos

Barnabas Poczos

Carnegie Mellon University

H-index: 47
Ryan Tibshirani

Ryan Tibshirani

Carnegie Mellon University

H-index: 45
Aarti Singh

Aarti Singh

Carnegie Mellon University

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