with Abhijeet Vyas

Manuscript, under submission

with Deeksha Adil, Arun Jambulapati, and Sushant Sachdeva

Manuscript, under submission

with Site Bai

International Conference on Learning Representations (ICLR), 2024

with Abhijeet Vyas and Kamyar Azizzadenesheli

International Conference on Machine Learning (ICML), 2023

with Naman Agarwal and Karan Singh

Conference on Algorithmic Learning Theory (ALT), 2023

with Kumar Kshitij Patel, Lingxiao Wang, Blake Woodworth, and Nati Srebro

Neural Information Processing Systems (NeurIPS), 2022

with Kevin A. Lai

SIAM Journal on Optimization 32, no. 3 (2022): 2208-2229

with Kumar Kshitij Patel, Ohad Shamir, Nathan Srebro, and Blake Woodworth

Neural Information Processing Systems (NeurIPS), 2021

with Deeksha Adil and Sushant Sachdeva

Neural Information Processing Systems (NeurIPS), 2021

with Blake Woodworth, Ohad Shamir, and Nathan Srebro

Conference on Learning Theory (COLT), 2021

Best Paper Award

with Deeksha Adil, Rasmus Kyng, and Sushant Sachdeva

International Colloquium on Automata, Languages, and Programming (ICALP), 2021

with Naman Agarwal, Nicolas Boumal, and Coralia Cartis

Mathematical Programming, 188(1):85--134, 2021

with Blake Woodworth, Kumar Kshitij Patel, Sebastian U. Stich,
Zhen Dai, H. Brendan McMahan, Ohad Shamir, and Nathan Srebro

International Conference on Machine Learning (ICML), 2020

Conference on Learning Theory (COLT), 2020

This work is partially a merging of https://arxiv.org/abs/1812.10349 and https://arxiv.org/abs/1906.01621

PhD Thesis, Princeton University. 2019

with Naman Agarwal, Elad Hazan, Sham Kakade, and Karan Singh

International Conference on Machine Learning (ICML), 2019

with Naman Agarwal, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, and Yi Zhang

International Conference on Machine Learning (ICML), 2019

with Elad Hazan, Adam Kalai, and Roi Livni

Conference on Algorithmic Learning Theory (ALT), 2019

with Cyril Zhang and Yi Zhang

International Conference on Learning Representations (ICLR), 2018

with Naman Agarwal, Zeyuan Allen-Zhu, Elad Hazan, and Tengyu Ma

Symposium on Theory of Computing (STOC), 2017

with Naman Agarwal and Elad Hazan

Journal of Machine Learning Research (JMLR), 18(116):1−40, 2017

2018 INFORMS Optimization Society Student Paper Prize, Honorable Mention

with Elad Hazan and Tomer Koren

Neural Information Processing Systems (NeurIPS), 2016

with Marianna Bolla, Sorathan Chaturapruek, Shiwen Chen, and Katalin Friedl

Linear Algebra and its Applications, 473:359–376, 2015