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

Online Learning for Active Cache Synchronization ICML 2020
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits ICML 2020
On Approximate Thompson Sampling with Langevin Algorithms ICML 2020
Online Multitask Learning with Long-Term Memory NIPS 2020
Making Non-Stochastic Control (Almost) as Easy as Stochastic NIPS 2020
Smoothed Analysis of Online and Differentially Private Learning NIPS 2020
Riccati updates for online linear quadratic control L4DC 2020
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling L4DC 2020
Thompson Sampling for Linearly Constrained Bandits AISTATS 2020
Online Learning Using Only Peer Prediction AISTATS 2020
Online Algorithm for Unsupervised Sequential Selection with Contextual Information NIPS 2020
Budget-Constrained Bandits over General Cost and Reward Distributions AISTATS 2020
Observe Before Play: Multi-Armed Bandit with Pre-Observations AAAI 2020
Non-Stationary Delayed Bandits with Intermediate Observations ICML 2020
Online Data Poisoning Attacks L4DC 2020
Regret Bound for Safe Gaussian Process Bandit Optimization L4DC 2020
Regret in Online Recommendation Systems NIPS 2020
Online Matrix Completion with Side Information NIPS 2020
Prediction with Corrupted Expert Advice NIPS 2020
Path Planning Problems with Side Observations—When Colonels Play Hide-and-Seek AAAI 2020
Improved Algorithms for Conservative Exploration in Bandits AAAI 2020
Bounding Regret in Empirical Games AAAI 2020
Learning to Crawl AAAI 2020
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds AAAI 2020
Robust Frequent Directions with Application in Online Learning JMLR 2019