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

Worst-Case Regret Bounds for Exploration via Randomized Value Functions NIPS 2019
No-Regret Learning in Unknown Games with Correlated Payoffs NIPS 2019
Categorized Bandits NIPS 2019
Blocking Bandits NIPS 2019
Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric NIPS 2019
Bandits with Feedback Graphs and Switching Costs NIPS 2019
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NIPS 2019
Risk-Averse Stochastic Convex Bandit AISTATS 2019
Efficient Linear Bandits through Matrix Sketching AISTATS 2019
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit AISTATS 2019
An Optimal Algorithm for Stochastic and Adversarial Bandits AISTATS 2019
Bandit Online Learning with Unknown Delays AISTATS 2019
Online Multiclass Boosting with Bandit Feedback AISTATS 2019
Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms AISTATS 2019
Online learning with kernel losses ICML 2019
Online Meta-Learning ICML 2019
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging ICML 2019
Data Poisoning Attacks on Stochastic Bandits ICML 2019
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption ALT 2019
Uniform regret bounds over $\mathbb{R}^d$ for the sequential linear regression problem with the square loss ALT 2019
Cleaning up the neighborhood: A full classification for adversarial partial monitoring ALT 2019
Online Linear Optimization with Sparsity Constraints ALT 2019
General parallel optimization a without metric ALT 2019
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret COLT 2019
Artificial Constraints and Hints for Unbounded Online Learning COLT 2019