linear bandit

Old Dog Learns New Tricks: Randomized UCB for Bandit Problems AISTATS 2020 Online Influence Maximization under Linear Threshold Model NeurIPS 2020 Optimal Best-arm Identification in Linear Bandits NeurIPS 2020 Randomized Exploration for Non-Stationary Stochastic Linear Bandits UAI 2020 Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound ICML 2020 Stage-wise Conservative Linear Bandits NeurIPS 2020 Stochastic Linear Contextual Bandits with Diverse Contexts AISTATS 2020 Sublinear Optimal Policy Value Estimation in Contextual Bandits AISTATS 2020 Balanced Linear Contextual Bandits AAAI 2019 Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits UAI 2019 Bootstrapping Upper Confidence Bound NeurIPS 2019 Improved Path-length Regret Bounds for Bandits COLT 2019 Sequential Experimental Design for Transductive Linear Bandits NeurIPS 2019 Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging ICML 2019 Weighted Linear Bandits for Non-Stationary Environments NeurIPS 2019 A fully adaptive algorithm for pure exploration in linear bandits AISTATS 2018 Best Arm Identification in Linear Bandits with Linear Dimension Dependency ICML 2018 Sparsity, variance and curvature in multi-armed bandits ALT 2018 Linear Thompson Sampling Revisited AISTATS 2017 The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits AISTATS 2017 Distributed Clustering of Linear Bandits in Peer to Peer Networks ICML 2016 No-Regret Algorithms for Heavy-Tailed Linear Bandits ICML 2016 Online Stochastic Linear Optimization under One-bit Feedback ICML 2016 REX: A Development Platform and Online Learning Approach for Runtime Emergent Software Systems OSDI 2016 Verification Based Solution for Structured MAB Problems NeurIPS 2016