minimax regret

Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition COLT 2021 Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 2021 On the Suboptimality of Thompson Sampling in High Dimensions NeurIPS 2021 On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix L4DC 2021 Possibilistic preference elicitation by minimax regret UAI 2021 Precise Minimax Regret for Logistic Regression with Categorical Feature Values ALT 2021 Predictive Power of Nearest Neighbors Algorithm under Random Perturbation AISTATS 2021 Robust reinforcement learning under minimax regret for green security UAI 2021 Sequential prediction under log-loss with side information ALT 2021 Exploration by Optimisation in Partial Monitoring COLT 2020 Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition NeurIPS 2020 Multinomial Logit Bandit with Low Switching Cost ICML 2020 Taking a hint: How to leverage loss predictors in contextual bandits? COLT 2020 The Influence of Shape Constraints on the Thresholding Bandit Problem COLT 2020 Tight Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance ICML 2020 Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information COLT 2019 Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes COLT 2019 Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity AISTATS 2019 An Information-Theoretic Approach to Minimax Regret in Partial Monitoring COLT 2019 Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019 Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits COLT 2019 Confounding-Robust Policy Improvement NeurIPS 2018 Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes IJCAI 2018 Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning COLT 2017 Minimax Regret Bounds for Reinforcement Learning ICML 2017