Udaya Ghai

Decision Sciences · Social Sciences

5h-index57citations21works0.42yr avg
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Research Topics

Advanced Bandit Algorithms Research(7), Reinforcement Learning in Robotics(4), Respiratory Support and Mechanisms(3), Sparse and Compressive Sensing Techniques(3), Stochastic Gradient Optimization Techniques(3)

Publications21 total

Outbound Modeling for Inventory Management
arXiv (Cornell University)·2025Open Access
Sample-Optimal Agnostic Boosting with Unlabeled Data
arXiv (Cornell University)·2025Open Access
A shared-revenue Bertrand game
arXiv (Cornell University)·2025Open Access
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
arXiv (Cornell University)·2024· 3 citedOpen Access
Sample-Efficient Agnostic Boosting
arXiv (Cornell University)·2024Open Access
How Does Critical Batch Size Scale in Pre-training?
arXiv (Cornell University)·2024Open Access
Neural Coordination and Capacity Control for Inventory Management
arXiv (Cornell University)·2024Open Access
Sample-Efficient Agnostic Boosting
2024
Online Nonstochastic Model-Free Reinforcement Learning
arXiv (Cornell University)·2023· 2 citedOpen Access
Non-convex online learning via algorithmic equivalence
arXiv (Cornell University)·2022· 1 citedOpen Access
A Regret Minimization Approach to Multi-Agent Control
arXiv (Cornell University)·2022· 1 citedOpen Access
Machine Learning for Mechanical Ventilation Control (Extended Abstract)
arXiv (Cornell University)·2021Open Access
Robust Online Control with Model Misspecification
arXiv (Cornell University)·2021Open Access
Machine Learning for Mechanical Ventilation Control
2021· 12 citedOpen Access
Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking
arXiv (Cornell University)·2021· 5 citedOpen Access
Machine Learning for Mechanical Ventilation Control
arXiv (Cornell University)·2021· 4 citedOpen Access
Generating Adversarial Disturbances for Controller Verification
arXiv (Cornell University)·2020· 2 citedOpen Access
No-Regret Prediction in Marginally Stable Systems
Conference on Learning Theory·2020· 1 cited
No-Regret Prediction in Marginally Stable Systems
arXiv (Cornell University)·2020· 5 citedOpen Access
Exponentiated Gradient Meets Gradient Descent
Algorithmic Learning Theory·2019· 11 cited
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Frequent Co-authors

Elad Hazan(11), Cyril Zhang(6), Daniel Suo(4), Paula Gradu(4), Naman Agarwal(4), Karan Singh(4), Dean P. Foster(4), Xinyi Chen(3), Edgar Minasyan(3), Karan Singh(3), Julienne LaChance(3), Tom J. Zajdel(3), Manuel Schottdorf(3), Daniel J. Cohen(3), Carson Eisenach(3), Sham M. Kakade(3), Yoram Singer(2), Holden Lee(2), Karan Singh(2), Alexander Yu(2)