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

AutoML from Service Provider’s Perspective: Multi-device, Multi-tenant Model Selection with GP-EI AISTATS 2019
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes AISTATS 2019
Online Algorithm for Unsupervised Sensor Selection AISTATS 2019
Best of many worlds: Robust model selection for online supervised learning AISTATS 2019
Online Learning in Kernelized Markov Decision Processes AISTATS 2019
Top Feasible Arm Identification AISTATS 2019
Structured Robust Submodular Maximization: Offline and Online Algorithms AISTATS 2019
Conservative Exploration using Interleaving AISTATS 2019
Lifelong Optimization with Low Regret AISTATS 2019
Deep Exploration via Randomized Value Functions JMLR 2019
Delay and Cooperation in Nonstochastic Bandits JMLR 2019
No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019
Online Control with Adversarial Disturbances ICML 2019
Target Tracking for Contextual Bandits: Application to Demand Side Management ICML 2019
Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem ICML 2019
Learning Linear-Quadratic Regulators Efficiently with only $\sqrtT$ Regret ICML 2019
Online Learning with Sleeping Experts and Feedback Graphs ICML 2019
Matrix-Free Preconditioning in Online Learning ICML 2019
Adaptive Scale-Invariant Online Algorithms for Learning Linear Models ICML 2019
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model ICML 2019
Online Learning to Rank with Features ICML 2019
Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints ICML 2019
Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards ICML 2019
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems ICML 2019
Adversarial Online Learning with noise ICML 2019