conftrace_

multi-armed bandit

1098 papers

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Also known as

MAB

Co-occurring keywords

regret bound (1926) online learning (1777) stochastic optimization (1060) thompson sampling (237) upper confidence bound (197) regret minimization (315) online algorithm (445) sample complexity (1169) contextual bandit (381) best arm identification (85)

Papers

Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards ICML 2020
Stochastic bandits with arm-dependent delays ICML 2020
Preselection Bandits ICML 2020
Machine Teaching of Active Sequential Learners NIPS 2019
Equipping Experts/Bandits with Long-term Memory NIPS 2019
Recovering Bandits NIPS 2019
Non-Asymptotic Pure Exploration by Solving Games NIPS 2019
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit IJCAI 2019
ActiveHNE: Active Heterogeneous Network Embedding IJCAI 2019
Perturbed-History Exploration in Stochastic Multi-Armed Bandits IJCAI 2019
Crawling the Community Structure of Multiplex Networks AAAI 2019
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms AAAI 2019
Nonstochastic Multiarmed Bandits with Unrestricted Delays NIPS 2019
Efficient Pure Exploration in Adaptive Round model NIPS 2019
Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019
Incorporating Behavioral Constraints in Online AI Systems AAAI 2019
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits AAAI 2019
Dueling Bandits with Qualitative Feedback AAAI 2019
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit IJCAI 2019
Sample complexity of partition identification using multi-armed bandits COLT 2019
Better Algorithms for Stochastic Bandits with Adversarial Corruptions COLT 2019
On the Performance of Thompson Sampling on Logistic Bandits COLT 2019
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging ICML 2019
Improved Path-length Regret Bounds for Bandits COLT 2019
Multi-armed Bandit Problems with Strategic Arms COLT 2019