multi-armed bandit

Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations IJCAI 2018 Online Regression with Partial Information: Generalization and Linear Projection AISTATS 2018 Practical Contextual Bandits with Regression Oracles ICML 2018 Private Sequential Learning COLT 2018 Profitable Bandits ACML 2018 Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence ALT 2018 Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors ICML 2018 Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018 Regional Multi-Armed Bandits AISTATS 2018 Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks JMLR 2018 Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling NeurIPS 2018 Sparsity, variance and curvature in multi-armed bandits ALT 2018 Stochastic Multi-armed Bandits in Constant Space AISTATS 2018 Structural Causal Bandits: Where to Intervene? NeurIPS 2018 The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates ALT 2018 UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits IJCAI 2018 Variational inference for the multi-armed contextual bandit AISTATS 2018 Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NeurIPS 2018 Adaptive Multiple-Arm Identification ICML 2017 A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control NeurIPS 2017 A KL-LUCB algorithm for Large-Scale Crowdsourcing NeurIPS 2017 An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits COLT 2017 A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis NeurIPS 2017 Automated Curriculum Learning for Neural Networks ICML 2017 Bandits with Movement Costs and Adaptive Pricing COLT 2017