Vinodchandran Variyam

Vinodchandran Variyam

University of Nebraska-Lincoln

H-index: 20

North America-United States

About Vinodchandran Variyam

Vinodchandran Variyam, With an exceptional h-index of 20 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Nebraska-Lincoln, specializes in the field of Foundations of Computation and Computational Complexity Theory, Foundations of Machine Learning.

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

List and certificate complexities in replicable learning

Geometry of Rounding: Near Optimal Bounds and a New Neighborhood Sperner's Lemma

Distinct Elements in Streams: An Algorithm for the (Text) Book

Total Variation Distance Estimation Is as Easy as Probabilistic Inference

Brief Announcement: Relations Between Space-Bounded and Adaptive Massively Parallel Computations

Model Counting Meets Distinct Elements

Constraint optimization over semirings

Neighborhood Variants of the KKM Lemma, Lebesgue Covering Theorem, and Sperner's Lemma on the Cube

Vinodchandran Variyam Information

University

Position

Professor Computer Science and Engineering

Citations(all)

1359

Citations(since 2020)

431

Cited By

1092

hIndex(all)

20

hIndex(since 2020)

13

i10Index(all)

38

i10Index(since 2020)

15

Email

University Profile Page

University of Nebraska-Lincoln

Google Scholar

View Google Scholar Profile

Vinodchandran Variyam Skills & Research Interests

Foundations of Computation and Computational Complexity Theory

Foundations of Machine Learning

Top articles of Vinodchandran Variyam

Title

Journal

Author(s)

Publication Date

List and certificate complexities in replicable learning

Advances in Neural Information Processing Systems

Peter Dixon

A Pavan

Jason Vander Woude

NV Vinodchandran

2024/2/13

Geometry of Rounding: Near Optimal Bounds and a New Neighborhood Sperner's Lemma

arXiv preprint arXiv:2304.04837

Jason Vander Woude

Peter Dixon

A Pavan

Jamie Radcliffe

NV Vinodchandran

2023/4/10

Distinct Elements in Streams: An Algorithm for the (Text) Book

arXiv preprint arXiv:2301.10191

Sourav Chakraborty

NV Vinodchandran

Kuldeep S Meel

2023/1/24

Total Variation Distance Estimation Is as Easy as Probabilistic Inference

arXiv preprint arXiv:2309.09134

Arnab Bhattacharyya

Sutanu Gayen

Kuldeep S Meel

Dimitrios Myrisiotis

A Pavan

...

2023/9/17

Brief Announcement: Relations Between Space-Bounded and Adaptive Massively Parallel Computations

Michael Chen

A Pavan

NV Vinodchandran

2023

Model Counting Meets Distinct Elements

Communications of the ACM

A Pavan

NV Vinodchandran

Arnab Bhattacharyya

Kuldeep S Meel

2023/8/23

Constraint optimization over semirings

Proceedings of the AAAI Conference on Artificial Intelligence

Aduri Pavan

Kuldeep S Meel

NV Vinodchandran

Arnab Bhattacharyya

2023/6/26

Neighborhood Variants of the KKM Lemma, Lebesgue Covering Theorem, and Sperner's Lemma on the Cube

arXiv preprint arXiv:2306.12593

Jason Vander Woude

Peter Dixon

A Pavan

Jamie Radcliffe

NV Vinodchandran

2023/6/21

Estimation of the Size of Union of Delphic Sets: Achieving Independence from Stream Size

Kuldeep S Meel

Sourav Chakraborty

NV Vinodchandran

2022/6/12

Pseudodeterminism: promises and lowerbounds

Peter Dixon

Aduri Pavan

Jason Vander Woude

NV Vinodchandran

2022/6/9

Model Counting Meets Distinct Elements in a Data Stream

ACM SIGMOD Record

A Pavan

NV Vinodchandran

Arnab Bhattacharyya

Kuldeep S Meel

2022/6/1

Efficient interventional distribution learning in the PAC framework

Arnab Bhattacharyya

Sutanu Gayen

Saravanan Kandasamy

Vedant Raval

Vinodchandran N Variyam

2022/5/3

Geometry of Rounding

arXiv preprint arXiv:2211.02694

Jason Vander Woude

Peter Dixon

A Pavan

Jamie Radcliffe

NV Vinodchandran

2022/11/4

On approximating total variation distance

arXiv preprint arXiv:2206.07209

Arnab Bhattacharyya

Sutanu Gayen

Kuldeep S Meel

Dimitrios Myrisiotis

Aduri Pavan

...

2022/6/14

Estimating the size of union of sets in streaming models

Kuldeep S Meel

NV Vinodchandran

Sourav Chakraborty

2021/6/20

Complete problems for multi-pseudodeterministic computations

Innovations in Theoretical Computer Science

Peter Dixon

Aduri Pavan

NV Vinodchandran

2021/1

Model Counting meets F0 Estimation

Aduri Pavan

NV Vinodchandran

Arnab Bhattacharya

Kuldeep S Meel

2021/6/20

Near-optimal learning of tree-structured distributions by Chow-Liu

SIAM Journal of Computing

Arnab Bhattacharyya

Sutanu Gayen

Eric Price

Vincent Y. F. Tan

N. V. Vinodchandran

2023

The magazine archive includes every article published in Communications of the ACM for over the past 50 years.

Communications of the ACM

Gary Lewandowski

Dennis J Bouvier

Tzu-Yi Chen

Robert McCartney

Kate Sanders

...

2010/7

Promise problems meet pseudodeterminism

arXiv preprint arXiv:2103.08589

Peter Dixon

Aduri Pavan

NV Vinodchandran

2021/3/15

See List of Professors in Vinodchandran Variyam University(University of Nebraska-Lincoln)

Co-Authors

H-index: 48
Lance Fortnow

Lance Fortnow

Illinois Institute of Technology

H-index: 46
Osamu Watanabe

Osamu Watanabe

Tokyo Institute of Technology

H-index: 36
Peter Bro Miltersen

Peter Bro Miltersen

Aarhus Universitet

H-index: 31
Vladimir Braverman

Vladimir Braverman

Johns Hopkins University

H-index: 29
Kuldeep S. Meel

Kuldeep S. Meel

National University of Singapore

H-index: 22
Arnab Bhattacharyya

Arnab Bhattacharyya

National University of Singapore

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