Entropy Search for Information-Efficient Global Optimization

6 December 2011

Papers citing "Entropy Search for Information-Efficient Global Optimization"

30 / 130 papers shown

Title
A survey on policy search algorithms for learning robot controllers in a handful of trials Konstantinos Chatzilygeroudis Vassilis Vassiliades F. Stulp Sylvain Calinon Jean-Baptiste Mouret 17 155 0 06 Jul 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 15 134 0 05 Jun 2018
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 38 27 0 30 May 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 46 240 0 25 May 2018
Optimization, fast and slow: optimally switching between local and Bayesian optimization Mark McLeod Michael A. Osborne Stephen J. Roberts 14 42 0 22 May 2018
Upgrading from Gaussian Processes to Student's-T Processes Brendan D. Tracey David Wolpert GP 14 39 0 18 Jan 2018
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs T. Hoang Q. Hoang Ruofei Ouyang K. H. Low 26 53 0 19 Nov 2017
Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu A. Kimmel Kostas E. Bekris Abdeslam Boularias 31 14 0 24 Oct 2017
Critical Hyper-Parameters: No Random, No Cry Olivier Bousquet Sylvain Gelly Karol Kurach O. Teytaud Damien Vincent 14 39 0 10 Jun 2017
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 14 209 0 05 Jun 2017
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes Vu Nguyen Santu Rana Sunil R. Gupta Cheng Li Svetha Venkatesh 29 9 0 15 Mar 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 27 124 0 06 Mar 2017
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization A. Marco Felix Berkenkamp Philipp Hennig Angela P. Schoellig Andreas Krause S. Schaal Sebastian Trimpe 13 125 0 03 Mar 2017
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA Manuel Martin Salvador M. Budka Bogdan Gabrys TPM 16 25 0 28 Dec 2016
Learning to Learn without Gradient Descent by Gradient Descent Yutian Chen Matthew W. Hoffman Sergio Gomez Colmenarejo Misha Denil Timothy Lillicrap Matt Botvinick Nando de Freitas 13 42 0 11 Nov 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 29 545 0 23 May 2016
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Yulia Tsvetkov Manaal Faruqui Wang Ling B. MacWhinney Chris Dyer 31 89 0 12 May 2016
A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization Hildo Bijl Thomas B. Schon J. Wingerden M. Verhaegen 9 25 0 01 Apr 2016
Multi-Information Source Optimization Matthias Poloczek Jialei Wang P. Frazier 41 198 0 01 Mar 2016
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah Zoubin Ghahramani 27 159 0 23 Nov 2015
Optimization as Estimation with Gaussian Processes in Bandit Settings Zi Wang Bolei Zhou Stefanie Jegelka GP 27 78 0 21 Oct 2015
Optimization for Gaussian Processes via Chaining E. Contal C. Malherbe Nicolas Vayatis 45 7 0 19 Oct 2015
Bayesian Optimization for Synthetic Gene Design Javier I. González Joseph Longworth D. James Neil D. Lawrence 23 78 0 07 May 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints José Miguel Hernández-Lobato M. Gelbart Matthew W. Hoffman Ryan P. Adams Zoubin Ghahramani 23 152 0 18 Feb 2015
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters Ziyun Wang Nando de Freitas 41 89 0 30 Jun 2014
Bayesian Optimization with Unknown Constraints M. Gelbart Jasper Snoek Ryan P. Adams 36 441 0 22 Mar 2014
Bayesian Multi-Scale Optimistic Optimization Ziyun Wang B. Shakibi L. Jin Nando de Freitas 80 95 0 27 Feb 2014
Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration E. Contal David Buffoni Alexandre Robicquet Nicolas Vayatis 25 213 0 19 Apr 2013
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 46 435 0 09 Jan 2013
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization Thomas Desautels Andreas Krause J. W. Burdick 43 470 0 27 Jun 2012