Learning to Optimize via Information-Directed Sampling

21 March 2014

Papers citing "Learning to Optimize via Information-Directed Sampling"

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Title
The Kalai-Smorodinski solution for many-objective Bayesian optimization M. Binois Victor Picheny P. Taillandier A. Habbal 24 17 0 18 Feb 2019
An Information-Theoretic Analysis for Thompson Sampling with Many Actions Shi Dong Benjamin Van Roy 14 49 0 30 May 2018
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 41 27 0 30 May 2018
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling C. Riquelme George Tucker Jasper Snoek BDL 41 365 0 26 Feb 2018
Information Directed Sampling and Bandits with Heteroscedastic Noise Johannes Kirschner Andreas Krause 24 122 0 29 Jan 2018
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 41 300 0 22 Mar 2017
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits Tor Lattimore Csaba Szepesvári 14 103 0 14 Oct 2016
The Bayesian Linear Information Filtering Problem Bangrui Chen P. Frazier 25 1 0 30 May 2016
Simple Bayesian Algorithms for Best Arm Identification Daniel Russo 25 273 0 26 Feb 2016
On Bayesian index policies for sequential resource allocation E. Kaufmann 41 84 0 06 Jan 2016