Sample-Optimal Agnostic Boosting with Unlabeled Data.
CoRR, March, 2025
How Does Critical Batch Size Scale in Pre-training?
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Neural Coordination and Capacity Control for Inventory Management.
CoRR, 2024
Sample-Efficient Agnostic Boosting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Online Nonstochastic Model-Free Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Regret Minimization Approach to Multi-Agent Contro.
CoRR, 2022
Non-convex online learning via algorithmic equivalence.
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.
Proceedings of the Learning for Dynamics and Control Conference, 2022
A Regret Minimization Approach to Multi-Agent Control.
Proceedings of the International Conference on Machine Learning, 2022
Machine Learning for Mechanical Ventilation Control (Extended Abstract).
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2021
Deluca - A Differentiable Control Library: Environments, Methods, and Benchmarking.
CoRR, 2021
Machine Learning for Mechanical Ventilation Control.
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2021
Generating Adversarial Disturbances for Controller Verification.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
No-Regret Prediction in Marginally Stable Systems.
Proceedings of the Conference on Learning Theory, 2020
Exponentiated Gradient Meets Gradient Descent.
Proceedings of the Algorithmic Learning Theory, 2020