Exponentiated Gradient Meets Gradient Descent. - Udaya Ghai; Elad Hazan; Yoram Singer (ALT, 2020)

No-Regret Prediction in Marginally Stable Systems. - Udaya Ghai; Holden Lee; Karan Singh; Cyril Zhang; Yi Zhang (COLT, 2020)

Generating Adversarial Disturbances for Controller Verification. - Udaya Ghai; David Snyder; Anirudha Majumdar; Elad Hazan (L4DC, 2021)

Machine Learning for Mechanical Ventilation Control. - Daniel Suo; Cyril Zhang; Paula Gradu; Udaya Ghai; Xinyi Chen 001; Edgar Minasyan; Naman Agarwal; Karan Singh; Julienne LaChance; Tom Zajdel; Manuel Schottdorf; Daniel J. Cohen; et al. (CoRR, 2021)

Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking. - Paula Gradu; John Hallman; Daniel Suo; Alex Yu; Naman Agarwal; Udaya Ghai; Karan Singh; Cyril Zhang; Anirudha Majumdar; Elad Hazan (CoRR, 2021)

Machine Learning for Mechanical Ventilation Control (Extended Abstract). - Daniel Suo; Cyril Zhang; Paula Gradu; Udaya Ghai; Xinyi Chen 001; Edgar Minasyan; Naman Agarwal; Karan Singh; Julienne LaChance; Tom Zajdel; Manuel Schottdorf; Daniel J. Cohen; et al. (CoRR, 2021)

A Regret Minimization Approach to Multi-Agent Control. - Udaya Ghai; Udari Madhushani; Naomi Ehrich Leonard; Elad Hazan (ICML, 2022)

Robust Online Control with Model Misspecification. - Udaya Ghai; Xinyi Chen 001; Elad Hazan; Alexandre Megretski (L4DC, 2022)

Non-convex online learning via algorithmic equivalence. - Udaya Ghai; Zhou Lu; Elad Hazan (NeurIPS, 2022)

A Regret Minimization Approach to Multi-Agent Contro. - Udaya Ghai; Udari Madhushani; Naomi Ehrich Leonard; Elad Hazan (CoRR, 2022)

Online Nonstochastic Model-Free Reinforcement Learning. - Udaya Ghai; Arushi Gupta; Wenhan Xia; Karan Singh; Elad Hazan (NeurIPS, 2023)

Sample-Efficient Agnostic Boosting. - Udaya Ghai; Karan Singh (NeurIPS, 2024)

Neural Coordination and Capacity Control for Inventory Management. - Carson Eisenach; Udaya Ghai; Dhruv Madeka; Kari Torkkola; Dean P. Foster; Sham M. Kakade (CoRR, 2024)

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models. - Yuda Song 001; Hanlin Zhang 002; Carson Eisenach; Sham M. Kakade; Dean P. Foster; Udaya Ghai (ICLR, 2025)

How Does Critical Batch Size Scale in Pre-training? - Hanlin Zhang 002; Depen Morwani; Nikhil Vyas 001; Jingfeng Wu; Difan Zou; Udaya Ghai; Dean P. Foster; Sham M. Kakade (ICLR, 2025)

Sample-Optimal Agnostic Boosting with Unlabeled Data. - Udaya Ghai; Karan Singh (CoRR, 2025)

Outbound Modeling for Inventory Management. - Riccardo Savorgnan; Udaya Ghai; Carson Eisenach; Dean P. Foster (CoRR, 2025)