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"

50 / 135 papers shown

Title
Non-smooth Bayesian Optimization in Tuning Problems Hengrui Luo J. Demmel Younghyun Cho Xin Li Yang Liu 25 13 0 15 Sep 2021
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 8 20 0 30 Aug 2021
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver W. Xing X. Jin Yi Liu Dan Niu Weisheng Zhao Zhou Jin 16 4 0 31 Jul 2021
An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble Shuhan Zhang Fan Yang Changhao Yan Dian Zhou Xuan Zeng 25 65 0 28 Jun 2021
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 32 23 0 23 Jun 2021
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization E. Lee David Eriksson Valerio Perrone Matthias Seeger 38 22 0 10 Jun 2021
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control Sudharshan Ashwin Renganathan Jeffrey Larson Stefan M. Wild 23 7 0 20 May 2021
Bayesian Optimistic Optimisation with Exponentially Decaying Regret Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 16 3 0 10 May 2021
One-parameter family of acquisition functions for efficient global optimization T. Kanazawa 35 2 0 26 Apr 2021
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information Willie Neiswanger Ke Alexander Wang Stefano Ermon MLAU 37 30 0 19 Apr 2021
Efficient Bayesian Optimization using Multiscale Graph Correlation T. Kanazawa 30 2 0 17 Mar 2021
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound Shion Takeno T. Tamura Kazuki Shitara Masayuki Karasuyama 37 17 0 19 Feb 2021
Using Distance Correlation for Efficient Bayesian Optimization T. Kanazawa 44 3 0 17 Feb 2021
Uncertainty quantification and exploration-exploitation trade-off in humans Antonio Candelieri Andrea Ponti Francesco Archetti 21 4 0 05 Feb 2021
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization Valerio Perrone Huibin Shen Aida Zolic I. Shcherbatyi Amr Ahmed ... Barbara Pogorzelska Miroslav Miladinovic K. Kenthapadi Matthias Seeger Cédric Archambeau 45 16 0 15 Dec 2020
Neural fidelity warping for efficient robot morphology design Sha Hu Zeshi Yang Greg Mori 55 4 0 08 Dec 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach Syrine Belakaria Aryan Deshwal J. Doppa 8 41 0 02 Nov 2020
Asynchronous ε-Greedy Bayesian Optimisation George De Ath Richard Everson J. Fieldsend 35 5 0 15 Oct 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 30 131 0 01 Sep 2020
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization Yimin Huang Yujun Li Hanrong Ye Zhenguo Li Zhihua Zhang 30 7 0 11 Jul 2020
Bayesian Optimization with a Prior for the Optimum Artur L. F. Souza Luigi Nardi Leonardo B. Oliveira K. Olukotun Marius Lindauer Frank Hutter 21 8 0 25 Jun 2020
MUMBO: MUlti-task Max-value Bayesian Optimization Henry B. Moss David S. Leslie Paul Rayson 23 33 0 22 Jun 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization Geoff Pleiss M. Jankowiak David Eriksson Anil Damle Jacob R. Gardner 19 43 0 19 Jun 2020
Bayesian Optimization with Missing Inputs P. Luong Dang Nguyen Sunil R. Gupta Santu Rana Svetha Venkatesh 29 3 0 19 Jun 2020
Scalable Thompson Sampling using Sparse Gaussian Process Models Sattar Vakili Henry B. Moss A. Artemev Vincent Dutordoir Victor Picheny 13 34 0 09 Jun 2020
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints E.C. Garrido-Merchán Daniel Hernández-Lobato 30 16 0 01 Apr 2020
Incorporating Expert Prior in Bayesian Optimisation via Space Warping Anil Ramachandran Sunil R. Gupta Santu Rana Cheng Li Svetha Venkatesh 20 36 0 27 Mar 2020
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge Florian Hase Matteo Aldeghi Riley J. Hickman L. Roch Alán Aspuru-Guzik 47 106 0 26 Mar 2020
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 30 51 0 04 Mar 2020
Efficient Rollout Strategies for Bayesian Optimization E. Lee David Eriksson Bolong Cheng M. McCourt D. Bindel 21 24 0 24 Feb 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 33 95 0 20 Feb 2020
Projective Preferential Bayesian Optimization P. Mikkola Milica Todorović J. Järvi Patrick Rinke Samuel Kaski 22 18 0 08 Feb 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization Lukas P. Frohlich Edgar D. Klenske Julia Vinogradska Christian Daniel Melanie Zeilinger 42 36 0 07 Feb 2020
Expected Improvement versus Predicted Value in Surrogate-Based Optimization Frederik Rehbach Martin Zaefferer B. Naujoks T. Bartz-Beielstein 23 24 0 09 Jan 2020
On Simulation and Trajectory Prediction with Gaussian Process Dynamics Lukas Hewing Elena Arcari Lukas P. Frohlich Melanie Zeilinger 19 35 0 23 Dec 2019
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs Dang Nguyen Sunil R. Gupta Santu Rana A. Shilton Svetha Venkatesh 16 50 0 28 Nov 2019
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research Maurizio Ferrari Dacrema Simone Boglio Paolo Cremonesi Dietmar Jannach 15 196 0 18 Nov 2019
Bayesian Optimization with Unknown Search Space Huong Ha Santu Rana Sunil R. Gupta Thanh Nguyen Hung The Tran Svetha Venkatesh 21 22 0 29 Oct 2019
Integrals over Gaussians under Linear Domain Constraints A. Gessner Oindrila Kanjilal Philipp Hennig 25 28 0 21 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization Poompol Buathong D. Ginsbourger Tipaluck Krityakierne BDL 29 22 0 09 Oct 2019
mfEGRA: Multifidelity Efficient Global Reliability Analysis through Active Learning for Failure Boundary Location A. Chaudhuri A. Marques Karen E. Willcox 19 24 0 06 Oct 2019
Information-Guided Robotic Maximum Seek-and-Sample in Partially Observable Continuous Environments Genevieve Flaspohler Victoria L. Preston A. Michel Yogesh A. Girdhar Nicholas Roy 34 45 0 26 Sep 2019
Efficient Transfer Bayesian Optimization with Auxiliary Information Tomoharu Iwata Takuma Otsuka 17 2 0 17 Sep 2019
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters Marius Lindauer Matthias Feurer Katharina Eggensperger André Biedenkapp Frank Hutter 20 18 0 19 Aug 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 24 51 0 02 Jul 2019
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