bandit feedback

Online Boosting with Bandit Feedback ALT 2021 Online learning in MDPs with linear function approximation and bandit feedback. NeurIPS 2021 Online Markov Decision Processes with Aggregate Bandit Feedback COLT 2021 On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond NeurIPS 2021 Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization ICML 2021 Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games NeurIPS 2021 Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information COLT 2021 Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020 Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks ACML 2020 Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition ICML 2020 Online Dense Subgraph Discovery via Blurred-Graph Feedback ICML 2020 Online Learning with Vector Costs and Bandits with Knapsacks COLT 2020 Optimistic Policy Optimization with Bandit Feedback ICML 2020 Adversarial Online Learning with noise ICML 2019 Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case ICML 2019 Bandit Principal Component Analysis COLT 2019 Bayesian Counterfactual Risk Minimization ICML 2019 Differentially Private Online Submodular Minimization AISTATS 2019 Efficient Counterfactual Learning from Bandit Feedback AAAI 2019 Exponential Weights on the Hypercube in Polynomial Time AISTATS 2019 No-Regret Learning in Unknown Games with Correlated Payoffs NeurIPS 2019 Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback NeurIPS 2019 Online Multiclass Boosting with Bandit Feedback AISTATS 2019 Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function NeurIPS 2019 Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback NeurIPS 2019