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A KL-LUCB Bandit Algorithm for Large-Scale Crowdsourcing

A KL-LUCB Bandit Algorithm for Large-Scale Crowdsourcing

Bob Mankoff
Robert D. Nowak
Ervin Tánczos
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Papers citing "A KL-LUCB Bandit Algorithm for Large-Scale Crowdsourcing"

6 / 6 papers shown
Title
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime
Max Simchowitz
Kevin Jamieson
Benjamin Recht
152
66
0
16 Feb 2017
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models
E. Kaufmann
Olivier Cappé
Aurélien Garivier
209
1,028
0
16 Jul 2014
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits
Kevin Jamieson
Matthew Malloy
Robert D. Nowak
Sébastien Bubeck
84
417
0
27 Dec 2013
Kullback-Leibler upper confidence bounds for optimal sequential allocation
Kullback-Leibler upper confidence bounds for optimal sequential allocation
Olivier Cappé
Aurélien Garivier
Odalric-Ambrym Maillard
Rémi Munos
Gilles Stoltz
141
395
0
03 Oct 2012
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences
Odalric-Ambrym Maillard
Rémi Munos
Gilles Stoltz
101
146
0
29 May 2011
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond
Aurélien Garivier
Olivier Cappé
204
615
0
12 Feb 2011