Vipul Gupta

Vipul Gupta

University of California, Berkeley

H-index: 11

North America-United States

About Vipul Gupta

Vipul Gupta, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Artificial Intelligence, Large-scale ML, Statistics.

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

BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory

Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism

LocalNewton: Reducing communication bottleneck for distributed learning

Towards Ubiquitous Serverless Computing: Fast Large-Scale Machine Learning and Optimal Pricing for the Cloud

Robust class parallelism-error resilient parallel inference with low communication cost

Utility-based resource allocation and pricing for serverless computing

Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well

3D Coded SUMMA: Communication-efficient and robust parallel matrix multiplication

Vipul Gupta Information

University

Position

Graduate student EECS

Citations(all)

299

Citations(since 2020)

271

Cited By

128

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Vipul Gupta Skills & Research Interests

Artificial Intelligence

Large-scale ML

Statistics

Top articles of Vipul Gupta

Title

Journal

Author(s)

Publication Date

BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory

Proceedings of Machine Learning Research vol 107: 1–18, 2021 2nd Annual Conference on Mathematical and Scientific Machine Learning

Aghazadeh Amirali

Vipul Gupta

Alex DeWeese

O Ozan Koyluoglu

Kannan Ramchandran

2021/1

Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2021.

Vipul Gupta

Dhruv Choudhary

Ping Tak Peter Tang

Xiaohan Wei

Xing Wang

...

2021/5/21

LocalNewton: Reducing communication bottleneck for distributed learning

Vipul Gupta

Avishek Ghosh

Michal Derezinski

Rajiv Khanna

Kannan Ramchandran

...

2021/5/16

Towards Ubiquitous Serverless Computing: Fast Large-Scale Machine Learning and Optimal Pricing for the Cloud

Vipul Gupta

2021

Robust class parallelism-error resilient parallel inference with low communication cost

Yaoqing Yang

Jichan Chung

Guanhua Wang

Vipul Gupta

Adarsh Karnati

...

2020

Utility-based resource allocation and pricing for serverless computing

arXiv preprint arXiv:2008.07793

Vipul Gupta

Soham Phade

Thomas Courtade

Kannan Ramchandran

2020/8/18

Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well

Vipul Gupta

Santiago Akle Serrano

Dennis DeCoste

2020/1/7

3D Coded SUMMA: Communication-efficient and robust parallel matrix multiplication

Haewon Jeong

Yaoqing Yang

Vipul Gupta

Christian Engelmann

Tze Meng Low

...

2020

Serverless straggler mitigation using error-correcting codes

Vipul Gupta

Dominic Carrano

Yaoqing Yang

Vaishaal Shankar

Thomas Courtade

...

2020/11/29

See List of Professors in Vipul Gupta University(University of California, Berkeley)

Co-Authors

H-index: 153
Ion Stoica

Ion Stoica

University of California, Berkeley

H-index: 101
Kannan Ramchandran

Kannan Ramchandran

University of California, Berkeley

H-index: 87
Pramod Varshney

Pramod Varshney

Syracuse University

H-index: 87
Claire Tomlin

Claire Tomlin

University of California, Berkeley

H-index: 75
Michael Mahoney

Michael Mahoney

University of California, Berkeley

H-index: 68
Joseph E. Gonzalez

Joseph E. Gonzalez

University of California, Berkeley

academic-engine