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

Real-Time Bidding with Side Information NIPS 2017
A KL-LUCB algorithm for Large-Scale Crowdsourcing NIPS 2017
Position-based Multiple-play Bandit Problem with Unknown Position Bias NIPS 2017
Transfer Learning in Multi-Armed Bandits: A Causal Approach IJCAI 2017
Boundary Crossing for General Exponential Families ALT 2017
Boltzmann Exploration Done Right NIPS 2017
A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis NIPS 2017
Interactive Submodular Bandit NIPS 2017
Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits IJCAI 2017
Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications NIPS 2017
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control NIPS 2017
Thresholding Bandits with Augmented UCB IJCAI 2017
Efficient Benchmarking of NLP APIs using Multi-armed Bandits EACL 2017
Identify the Nash Equilibrium in Static Games with Random Payoffs ICML 2017
Counterfactual Data-Fusion for Online Reinforcement Learners ICML 2017
On Kernelized Multi-armed Bandits ICML 2017
Adaptive Multiple-Arm Identification ICML 2017
Rotting Bandits NIPS 2017
Multi-Armed Bandits with Metric Movement Costs NIPS 2017
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe NIPS 2017
Context Attentive Bandits: Contextual Bandit with Restricted Context IJCAI 2017
Crowd Learning: Improving Online Decision Making Using Crowdsourced Data IJCAI 2017
Optimal Posted-Price Mechanism in Microtask Crowdsourcing IJCAI 2017
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits AISTATS 2017
Online Learning to Rank with Top-k Feedback JMLR 2017