conftrace_

regret bound

1926 papers

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Also known as

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

The Price of Differential Privacy for Online Learning ICML 2017
Second-Order Kernel Online Convex Optimization with Adaptive Sketching ICML 2017
Adaptive Multiple-Arm Identification ICML 2017
On Kernelized Multi-armed Bandits ICML 2017
Unifying Task Specification in Reinforcement Learning ICML 2017
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? ICML 2017
Online Learning to Rank in Stochastic Click Models ICML 2017
Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret ICML 2017
Online Learning with a Hint NIPS 2017
Efficient Second-Order Online Kernel Learning with Adaptive Embedding NIPS 2017
Regret Analysis for Continuous Dueling Bandit NIPS 2017
Stochastic and Adversarial Online Learning without Hyperparameters NIPS 2017
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation NIPS 2017
Projection-free Distributed Online Learning in Networks ICML 2017
Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017
Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017
Online Learning with Local Permutations and Delayed Feedback ICML 2017
Active Learning for Accurate Estimation of Linear Models ICML 2017
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds ICML 2017
Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017
On Context-Dependent Clustering of Bandits ICML 2017
Distributed Batch Gaussian Process Optimization ICML 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations ICML 2017
Dueling Bandits with Weak Regret ICML 2017
Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback NIPS 2017