conftrace_

upper confidence bound

197 papers

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Also known as

UCB

Co-occurring keywords

regret bound (1926) multi-armed bandit (1098) online learning (1777) contextual bandit (381) bayesian optimization (624) gaussian process (1200) thompson sampling (237) reinforcement learning (4352) stochastic optimization (1060) ucb algorithm (44)

Papers

Contextual Bandits with Stochastic Experts AISTATS 2018
Regional Multi-Armed Bandits AISTATS 2018
The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates ALT 2018
Information Directed Sampling and Bandits with Heteroscedastic Noise COLT 2018
Bandit Learning with Positive Externalities NIPS 2018
Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018
Context-dependent upper-confidence bounds for directed exploration NIPS 2018
Cost-aware Cascading Bandits IJCAI 2018
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits IJCAI 2018
A General Approach to Multi-Armed Bandits Under Risk Criteria COLT 2018
Feasible Arm Identification ICML 2018
Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks JMLR 2018
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits ICML 2018
Profile-Based Bandit with Unknown Profiles JMLR 2018
Learning Cost-Effective and Interpretable Treatment Regimes AISTATS 2017
Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017
Multi-Task Learning for Contextual Bandits NIPS 2017
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe NIPS 2017
Thresholding Bandits with Augmented UCB IJCAI 2017
A Bandit Framework for Strategic Regression NIPS 2016
The Multi-fidelity Multi-armed Bandit NIPS 2016
On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search ICML 2016
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations NIPS 2016
Dueling Bandits: Beyond Condorcet Winners to General Tournament Solutions NIPS 2016
Anytime Exploration for Multi-armed Bandits using Confidence Information ICML 2016