conftrace_

regret bound

1926 papers

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RB

Co-occurring keywords

online learning (1777) multi-armed bandit (1098) contextual bandit (381) stochastic optimization (1060) reinforcement learning (4352) online algorithm (445) upper confidence bound (197) markov decision process (790) thompson sampling (237) online convex optimization (165)

Papers

Exploration in Structured Reinforcement Learning NIPS 2018
Is Q-Learning Provably Efficient? NIPS 2018
Competing with Automata-based Expert Sequences AISTATS 2018
Adaptive Learning with Unknown Information Flows NIPS 2018
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes NIPS 2018
Fighting Boredom in Recommender Systems with Linear Reinforcement Learning NIPS 2018
Efficient online algorithms for fast-rate regret bounds under sparsity NIPS 2018
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator NIPS 2018
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs NIPS 2018
Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward NIPS 2018
Factored Bandits NIPS 2018
Adaptation to Easy Data in Prediction with Limited Advice NIPS 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint NIPS 2018
Horizon-Independent Minimax Linear Regression NIPS 2018
Efficient Bandit Combinatorial Optimization Algorithm with Zero-suppressed Binary Decision Diagrams AISTATS 2018
Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games NIPS 2018
Online convex optimization for cumulative constraints NIPS 2018
Contextual Bandits with Stochastic Experts AISTATS 2018
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization AISTATS 2018
Nearly second-order optimality of online joint detection and estimation via one-sample update schemes AISTATS 2018
Regional Multi-Armed Bandits AISTATS 2018
Stochastic Multi-armed Bandits in Constant Space AISTATS 2018
Online Learning with Non-Convex Losses and Non-Stationary Regret AISTATS 2018
Parallelised Bayesian Optimisation via Thompson Sampling AISTATS 2018