Co-occurring keywords · papers mentioning both
Papers
Second Order Methods for Bandit Optimization and Control
COLT 2024
Settling the sample complexity of online reinforcement learning
COLT 2024
Slowly Changing Adversarial Bandit Algorithms are Efficient for Discounted MDPs
ALT 2024
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
AISTATS 2024
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
NeurIPS 2024
STARC: A General Framework For Quantifying Differences Between Reward Functions
ICLR 2024
State-free Reinforcement Learning
NeurIPS 2024
Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework
COLT 2024
Stochastic contextual bandits with graph feedback: from independence number to MAS number
NeurIPS 2024
Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays
AISTATS 2024
Stopping Bayesian Optimization with Probabilistic Regret Bounds
NeurIPS 2024
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
NeurIPS 2024
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model
JMLR 2024
Sum-max Submodular Bandits
AISTATS 2024
Symmetric Linear Bandits with Hidden Symmetry
NeurIPS 2024
Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting
NeurIPS 2024
Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games
NeurIPS 2024
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models
AAAI 2024
The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure
NeurIPS 2024
The Real Price of Bandit Information in Multiclass Classification
COLT 2024
The SMART approach to instance-optimal online learning
COLT 2024
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources
AISTATS 2024
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
NeurIPS 2024
Thompson Sampling Itself is Differentially Private
AISTATS 2024
Tight Rates for Bandit Control Beyond Quadratics
NeurIPS 2024