Udaya Ghai

According to our database, Udaya Ghai authored at least 22 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Replicable Bandits with UCB based Exploration.

Rohan Deb, Udaya Ghai, Karan Singh, Arindam Banerjee

CoRR, April, 2026

Intent-aligned Formal Specification Synthesis via Traceable Refinement.

Zhe Ye, Aidan Z. H. Yang, Huangyuan Su, Zhenyu Liao, Samuel Tenka, Zhizhen Qin, Udaya Ghai, Dawn Song, Soonho Kong

CoRR, April, 2026

Learning Adaptive LLM Decoding.

Chloe H. Su, Zhe Ye, Samuel Tenka, Aidan Yang, Soonho Kong, Udaya Ghai

CoRR, March, 2026

2025

BRIDGE: Building Representations In Domain Guided Program Verification.

Robert Joseph George, Carson Eisenach, Udaya Ghai, Dominique Perrault-Joncas, Anima Anandkumar, Dean P. Foster

CoRR, November, 2025

Outbound Modeling for Inventory Management.

Riccardo Savorgnan, Udaya Ghai, Carson Eisenach, Dean P. Foster

CoRR, July, 2025

Sample-Optimal Agnostic Boosting with Unlabeled Data.

Udaya Ghai, Karan Singh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

How Does Critical Batch Size Scale in Pre-training?

Hanlin Zhang, Depen Morwani, Nikhil Vyas, Jingfeng Wu, Difan Zou, Udaya Ghai, Dean P. Foster, Sham M. Kakade

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models.

Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Sample-Efficient Agnostic Boosting.

Udaya Ghai, Karan Singh

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A Game Theoretic Lens for Robustness in Control.

Udaya Ghai

PhD thesis, 2023

Online Nonstochastic Model-Free Reinforcement Learning.

Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Regret Minimization Approach to Multi-Agent Contro.

Udaya Ghai, Udari Madhushani, Naomi Ehrich Leonard, Elad Hazan

CoRR, 2022

Non-convex online learning via algorithmic equivalence.

Udaya Ghai, Zhou Lu, Elad Hazan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Online Control with Model Misspecification.

Udaya Ghai, Xinyi Chen, Elad Hazan, Alexandre Megretski

Proceedings of the Learning for Dynamics and Control Conference, 2022

A Regret Minimization Approach to Multi-Agent Control.

Udaya Ghai, Udari Madhushani, Naomi Ehrich Leonard, Elad Hazan

Proceedings of the International Conference on Machine Learning, 2022

2021

Machine Learning for Mechanical Ventilation Control (Extended Abstract).

Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel J. Cohen, Elad Hazan

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.

Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel J. Cohen, Elad Hazan

CoRR, 2021

Generating Adversarial Disturbances for Controller Verification.

Udaya Ghai, David Snyder, Anirudha Majumdar, Elad Hazan

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020

No-Regret Prediction in Marginally Stable Systems.

Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang

Proceedings of the Conference on Learning Theory, 2020

Exponentiated Gradient Meets Gradient Descent.

Udaya Ghai, Elad Hazan, Yoram Singer

Proceedings of the Algorithmic Learning Theory, 2020