Arya Mazumdar

Arya Mazumdar

University of California, San Diego

H-index: 24

North America-United States

About Arya Mazumdar

Arya Mazumdar, With an exceptional h-index of 24 and a recent h-index of 19 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Coding Theory, Information Theory, Machine Learning.

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

The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics

Competing Bandits in Non-Stationary Matching Markets

Robust 1-bit Compressed Sensing with Iterative Hard Thresholding

A Convergent Federated Clustering Algorithm without Initial Condition

On the sample complexity of estimation in logistic regression

Optimal Compression of Unit Norm Vectors in the High Distortion Regime

Async-HFL: Efficient and robust asynchronous federated learning in hierarchical IoT networks

Improved Support Recovery in Universal One-bit Compressed Sensing

Arya Mazumdar Information

University

Position

___

Citations(all)

2407

Citations(since 2020)

1394

Cited By

1591

hIndex(all)

24

hIndex(since 2020)

19

i10Index(all)

63

i10Index(since 2020)

41

Email

University Profile Page

University of California, San Diego

Google Scholar

View Google Scholar Profile

Arya Mazumdar Skills & Research Interests

Coding Theory

Information Theory

Machine Learning

Top articles of Arya Mazumdar

Title

Journal

Author(s)

Publication Date

The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics

AI Magazine

Andrew B Kahng

Arya Mazumdar

Jodi Reeves

Yusu Wang

2024/2

Competing Bandits in Non-Stationary Matching Markets

IEEE Transactions on Information Theory

Avishek Ghosh

Abishek Sankararaman

Kannan Ramchandran

Tara Javidi

Arya Mazumdar

2024/1/10

Robust 1-bit Compressed Sensing with Iterative Hard Thresholding

Namiko Matsumoto

Arya Mazumdar

2024

A Convergent Federated Clustering Algorithm without Initial Condition

Harsh Vardhan

Avishek Ghosh

Arya Mazumdar

2023/7/21

On the sample complexity of estimation in logistic regression

arXiv preprint arXiv:2307.04191

Daniel Hsu

Arya Mazumdar

2023/7/9

Optimal Compression of Unit Norm Vectors in the High Distortion Regime

Heng Zhu

Avishek Ghosh

Arya Mazumdar

2023/6/25

Async-HFL: Efficient and robust asynchronous federated learning in hierarchical IoT networks

Xiaofan Yu

Lucy Cherkasova

Harsh Vardhan

Quanling Zhao

Emily Ekaireb

...

2023/5/9

Improved Support Recovery in Universal One-bit Compressed Sensing

IEEE Transactions on Information Theory

Namiko Matsumoto

Arya Mazumdar

Soumyabrata Pal

2023/11/13

Optimization using Parallel Gradient Evaluations on Multiple Parameters

arXiv preprint arXiv:2302.03161

Yash Chandak

Shiv Shankar

Venkata Gandikota

Philip S Thomas

Arya Mazumdar

2023/2/6

Consensus Optimization at Representation: Improving Personalized Federated Learning via Data-Centric Regularization

Heng Zhu

Arya Mazumdar

2023/10/28

Community recovery in the geometric block model

Journal of Machine Learning Research

Sainyam Galhotra

Arya Mazumdar

Soumyabrata Pal

Barna Saha

2023

Capacity of Locally Recoverable Codes

IEEE Journal on Selected Areas in Information Theory

Arya Mazumdar

2023/8/1

: A Robust Federated Learning Algorithm with Cubic Regularized Newton

Avishek Ghosh

Raj Kumar Maity

Arya Mazumdar

2023/7/21

On learning mixture of linear regressions in the non-realizable setting

Soumyabrata Pal

Arya Mazumdar

Rajat Sen

Avishek Ghosh

2022/6/28

Codes in the sum-rank metric: Fundamentals and applications

Foundations and Trends® in Communications and Information Theory

Umberto Martínez-Peñas

Mohannad Shehadeh

Frank R Kschischang

2022/5/30

On Learning Mixture Models with Sparse Parameters

Arya Mazumdar

Soumyabrata Pal

2022/5/3

Lower bounds on the total variation distance between mixtures of two Gaussians

Sami Davies

Arya Mazumdar

Soumyabrata Pal

Cyrus Rashtchian

2022/3/20

Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing

Namiko Matsumoto

Arya Mazumdar

2022/7/7

Automatic multilabel classification using machine learning

2022/7/5

Session-aware query auto-completion using extreme multi-label ranking

Nishant Yadav

Rajat Sen

Daniel N Hill

Arya Mazumdar

Inderjit S Dhillon

2021/8/14

See List of Professors in Arya Mazumdar University(University of California, San Diego)

Co-Authors

H-index: 101
Kannan Ramchandran

Kannan Ramchandran

University of California, Berkeley

H-index: 68
Gregory Wornell

Gregory Wornell

Massachusetts Institute of Technology

H-index: 47
Gilles Zémor

Gilles Zémor

Université de Bordeaux

H-index: 42
Andrew McGregor

Andrew McGregor

University of Massachusetts Amherst

H-index: 42
Alexander Barg

Alexander Barg

University of Maryland, Baltimore

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