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

Combinatorial Semi-Bandits with Knapsacks AISTATS 2018
Playing Repeated Network Interdiction Games with Semi-Bandit Feedback IJCAI 2017
Horde of Bandits using Gaussian Markov Random Fields AISTATS 2017
Online Optimization of Smoothed Piecewise Constant Functions AISTATS 2017
Stochastic Rank-1 Bandits AISTATS 2017
Regret Bounds for Transfer Learning in Bayesian Optimisation AISTATS 2017
Regret Bounds for Lifelong Learning AISTATS 2017
Linear Thompson Sampling Revisited AISTATS 2017
Sparse Stochastic Bandits COLT 2017
Bandits with Movement Costs and Adaptive Pricing COLT 2017
Tight Bounds for Bandit Combinatorial Optimization COLT 2017
Corralling a Band of Bandit Algorithms COLT 2017
Conditional Accelerated Lazy Stochastic Gradient Descent ICML 2017
Perishability of Data: Dynamic Pricing under Varying-Coefficient Models JMLR 2017
A survey of Algorithms and Analysis for Adaptive Online Learning JMLR 2017
Online Learning to Rank with Top-k Feedback JMLR 2017
Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities JMLR 2017
Multi-objective Bandits: Optimizing the Generalized Gini Index ICML 2017
Process-constrained batch Bayesian optimisation NIPS 2017
Scalable Generalized Linear Bandits: Online Computation and Hashing NIPS 2017
Interactive Submodular Bandit NIPS 2017
Efficient Online Linear Optimization with Approximation Algorithms NIPS 2017
Multi-Task Learning for Contextual Bandits NIPS 2017
Position-based Multiple-play Bandit Problem with Unknown Position Bias NIPS 2017
Random Permutation Online Isotonic Regression NIPS 2017