2026 Prateek Jain: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	56	4049	3935	1927	1860	159	13618

Overview

Prateek Jain is a researcher affiliated with Google in the United States, specializing in the field of Computer Science. Their work encompasses a range of topics primarily focused on artificial intelligence and machine learning.

Their main fields of study include:

Computer Science

Within this broad field, their subfields of study are:

Artificial Intelligence
Computer Vision and Pattern Recognition
Management Science and Operations Research
Computational Theory and Mathematics
Computer Networks and Communications

Their research covers key topics including:

Domain Adaptation and Few-Shot Learning
Machine Learning and Data Classification
Stochastic Gradient Optimization Techniques
Advanced Bandit Algorithms Research
Privacy-Preserving Technologies in Data
Adversarial Robustness in Machine Learning
Sparse and Compressive Sensing Techniques

Prateek Jain has a record of publications predominantly in the following venues:

arXiv (Cornell University)
SIAM Journal on Optimization
Asian Journal of Dental and Health Sciences
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
2022 International Joint Conference on Neural Networks (IJCNN)

Several recent papers authored or coauthored by Prateek Jain include:

Large-scale multi-label learning with missing labels, 2025, arXiv (Cornell University)
The Pitfalls of Simplicity Bias in Neural Networks, 2020, arXiv (Cornell University)
Soft Threshold Weight Reparameterization for Learnable Sparsity, 2020, arXiv (Cornell University)
Matryoshka Representation Learning, 2022, arXiv (Cornell University)
Making the Last Iterate of SGD Information Theoretically Optimal, 2021, SIAM Journal on Optimization

Frequent coauthors collaborating with Prateek Jain include:

Praneeth Netrapalli
Aditya Kusupati
Arun Sai Suggala
Inderjit S. Dhillon
Abhradeep Thakurta

Best Publications

Information-theoretic metric learning

Jason V. Davis;Brian Kulis;Prateek Jain;Suvrit Sra

2662
Citations
Low-rank matrix completion using alternating minimization

Prateek Jain;Praneeth Netrapalli;Sujay Sanghavi

1168
Citations
Phase Retrieval Using Alternating Minimization

Praneeth Netrapalli;Prateek Jain;Sujay Sanghavi

645
Citations
Non-convex Optimization for Machine Learning

Unknown

585
Citations
Large-scale Multi-label Learning with Missing Labels

Hsiang-Fu Yu;Prateek Jain;Purushottam Kar;Inderjit Dhillon

472
Citations
Sparse local embeddings for extreme multi-label classification

Kush Bhatia;Himanshu Jain;Purushottam Kar;Manik Varma

437
Citations
Guaranteed Rank Minimization via Singular Value Projection

Prateek Jain;Raghu Meka;Inderjit S. Dhillon

427
Citations
Fast image search for learned metrics

P. Jain;B. Kulis;K. Grauman

360
Citations
Fast Similarity Search for Learned Metrics

B. Kulis;P. Jain;K. Grauman

325
Citations
Online Metric Learning and Fast Similarity Search

Prateek Jain;Brian Kulis;Inderjit S. Dhillon;Kristen Grauman

254
Citations
Recovery Guarantees for One-hidden-layer Neural Networks

Kai Zhong;Zhao Song;Prateek Jain;Peter L. Bartlett

245
Citations
Metric and kernel learning using a linear transformation

Prateek Jain;Brian Kulis;Jason V. Davis;Inderjit S. Dhillon

224
Citations
Differentially Private Online Learning

Prateek Jain;Pravesh Kothari;Abhradeep Thakurta

215
Citations
Active learning for large multi-class problems

Prateek Jain;Ashish Kapoor

213
Citations
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation

Prateek Jain;Ambuj Tewari;Purushottam Kar

199
Citations
Provable Tensor Factorization with Missing Data

Prateek Jain;Sewoong Oh

190
Citations
Non-convex Robust PCA

Praneeth Netrapalli;Niranjan U N;Sujay Sanghavi;Animashree Anandkumar

190
Citations
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network

Aditya Kusupati;Manish Singh;Kush Bhatia;Ashish Kumar

173
Citations
Provable Inductive Matrix Completion

Prateek Jain;Inderjit S. Dhillon

172
Citations
Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization

Alekh Agarwal;Animashree Anandkumar;Prateek Jain;Praneeth Netrapalli

169
Citations
Soft Threshold Weight Reparameterization for Learnable Sparsity

Aditya Kusupati;Vivek Ramanujan;Raghav Somani;Mitchell Wortsman

92
Citations

Frequent Co-Authors

Praneeth Netrapalli Google (United States)

Inderjit S. Dhillon Google (United States)

Sham M. Kakade Harvard University

Aaron Sidford Stanford University

Sujay Sanghavi The University of Texas at Austin

Sumit Gulwani Microsoft (United States)

Ambuj Tewari University of Michigan–Ann Arbor

Sewoong Oh University of Washington

Abhradeep Thakurta Google (United States)

Manik Varma Microsoft (India)

External Links

Personal website of Prateek Jain Google Scholar page

If you think any of the details on this page are incorrect, let us know.

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