Co-occurring keywords · papers mentioning both
Papers
Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks
UAI 2025
Dynamic Assortment Selection and Pricing with Censored Preference Feedback
ICLR 2025
Satisficing Regret Minimization in Bandits
ICLR 2025
Bayesian Regret Minimization in Offline Bandits
ICML 2024
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms
AAAI 2024
Pessimism for Offline Linear Contextual Bandits using ℓ_p Confidence Sets
NeurIPS 2022
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
NeurIPS 2021
Information Theoretic Regret Bounds for Online Nonlinear Control
NeurIPS 2020