research
∙
06/09/2023
Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY
We consider robust empirical risk minimization (ERM), where model parame...
share
research
∙
05/04/2023
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality
In recommender system or crowdsourcing applications of online learning, ...
research
∙
11/04/2022
How Does Adaptive Optimization Impact Local Neural Network Geometry?
Adaptive optimization methods are well known to achieve superior converg...
research
∙
04/24/2022
Complete Policy Regret Bounds for Tallying Bandits
Policy regret is a well established notion of measuring the performance ...
research
∙
06/15/2021
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity
Reinforcement learning (RL) is empirically successful in complex nonline...
research
∙
01/01/2021
When Is Generalizable Reinforcement Learning Tractable?
Agents trained by reinforcement learning (RL) often fail to generalize b...
research
∙
12/20/2018
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
We study derivative-free methods for policy optimization over the class ...
research
∙
06/11/2018
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning
Our goal is for AI systems to correctly identify and act according to th...
research
∙
07/20/2017