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Optimal Batched Linear Bandits ICML 2024 Performative Prediction with Bandit Feedback: Learning through Reparameterization ICML 2024 Policy Learning for Balancing Short-Term and Long-Term Rewards ICML 2024 Pricing with Contextual Elasticity and Heteroscedastic Valuation ICML 2024 Projection-Free Online Convex Optimization with Time-Varying Constraints ICML 2024 Prospective Side Information for Latent MDPs ICML 2024 Provable Interactive Learning with Hindsight Instruction Feedback ICML 2024 Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent ICML 2024 Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency ICML 2024 Stochastic Bandits with ReLU Neural Networks ICML 2024 Testing the Feasibility of Linear Programs with Bandit Feedback ICML 2024 Test-Time Regret Minimization in Meta Reinforcement Learning ICML 2024 Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption ICML 2024 From Bandits to Experts: A Tale of Domination and Independence NeurIPS 2013 Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation COLT 2011