Predictive Entropy Search for Efficient Global Optimization of Black-box Functions

10 June 2014

José Miguel Hernández-Lobato

Papers citing "Predictive Entropy Search for Efficient Global Optimization of Black-box Functions"

40 / 140 papers shown

Title
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly Kirthevasan Kandasamy Karun Raju Vysyaraju Willie Neiswanger Biswajit Paria Christopher R. Collins J. Schneider Barnabás Póczós Eric Xing 29 174 0 15 Mar 2019
Functional Variational Bayesian Neural Networks Shengyang Sun Guodong Zhang Jiaxin Shi Roger C. Grosse BDL 22 235 0 14 Mar 2019
Financial Applications of Gaussian Processes and Bayesian Optimization Joan Gonzalvez Edmond Lezmi T. Roncalli Jiali Xu 20 54 0 12 Mar 2019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation A. Alvi Binxin Ru Jan-Peter Calliess Stephen J. Roberts Michael A. Osborne 29 44 0 29 Jan 2019
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization Shion Takeno H. Fukuoka Yuhki Tsukada T. Koyama M. Shiga Ichiro Takeuchi Masayuki Karasuyama 24 40 0 24 Jan 2019
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization Miao Zhang Huiqi Li Juan Lyu S. Ling Steven W. Su AI4CE 22 11 0 02 Jan 2019
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization E.C. Garrido-Merchán Alejandro Albarca-Molina 8 8 0 09 Nov 2018
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes Jialin Song Yuxin Chen Yisong Yue 16 101 0 02 Nov 2018
Hyperparameter Learning via Distributional Transfer H. Law P. Zhao Lucian Chan Junzhou Huang Dino Sejdinovic 27 25 0 15 Oct 2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks Tobias Hinz Nicolás Navarro-Guerrero S. Magg S. Wermter 27 104 0 19 Jul 2018
A Tutorial on Bayesian Optimization P. Frazier GP 39 1,744 0 08 Jul 2018
Bayesian Optimization of Combinatorial Structures Ricardo Baptista Matthias Poloczek 24 135 0 22 Jun 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 23 135 0 05 Jun 2018
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 41 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 22 42 0 22 May 2018
Constant-Time Predictive Distributions for Gaussian Processes Geoff Pleiss Jacob R. Gardner Kilian Q. Weinberger A. Wilson 25 94 0 16 Mar 2018
Query-limited Black-box Attacks to Classifiers Fnu Suya Yuan Tian David Evans Paolo Papotti AAML 20 24 0 23 Dec 2017
Actively Learning what makes a Discrete Sequence Valid David Janz J. Westhuizen José Miguel Hernández-Lobato 15 22 0 15 Aug 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space José Miguel Hernández-Lobato James Requeima Edward O. Pyzer-Knapp Alán Aspuru-Guzik 33 178 0 06 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
Adaptive Rate of Convergence of Thompson Sampling for Gaussian Process Optimization Kinjal Basu Souvik Ghosh 15 42 0 18 May 2017
Preferential Bayesian Optimization Javier I. González Zhenwen Dai Andreas C. Damianou Neil D. Lawrence 20 110 0 12 Apr 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 21 220 0 18 Mar 2017
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes Vu Nguyen Santu Rana Sunil R. Gupta Cheng Li Svetha Venkatesh 37 9 0 15 Mar 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 43 124 0 06 Mar 2017
Active Search for Sparse Signals with Region Sensing Yifei Ma Roman Garnett J. Schneider 30 13 0 02 Dec 2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Ilija Bogunovic Jonathan Scarlett Andreas Krause V. Cevher 72 89 0 24 Oct 2016
A supermartingale approach to Gaussian process based sequential design of experiments Julien Bect François Bachoc D. Ginsbourger 34 77 0 03 Aug 2016
Theory of the GMM Kernel Ping Li Cun-Hui Zhang 36 23 0 01 Aug 2016
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates Ilija Ilievski Taimoor Akhtar Jiashi Feng C. Shoemaker 32 150 0 28 Jul 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 35 546 0 23 May 2016
Bayesian Hyperparameter Optimization for Ensemble Learning Julien-Charles Levesque Christian Gagné R. Sabourin BDL 24 49 0 20 May 2016
Linearized GMM Kernels and Normalized Random Fourier Features Ping Li 30 9 0 18 May 2016
A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization Hildo Bijl Thomas B. Schon J. Wingerden M. Verhaegen 13 25 0 01 Apr 2016
Multi-fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy Gautam Dasarathy Junier B. Oliva J. Schneider Barnabás Póczós 14 76 0 20 Mar 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 35 159 0 23 Nov 2015
Optimization as Estimation with Gaussian Processes in Bandit Settings Zi Wang Bolei Zhou Stefanie Jegelka GP 43 78 0 21 Oct 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints José Miguel Hernández-Lobato M. Gelbart Matthew W. Hoffman Ryan P. Adams Zoubin Ghahramani 31 152 0 18 Feb 2015