GIBBON: General-purpose Information-Based Bayesian OptimisatioN

5 February 2021

David S. Leslie

Papers citing "GIBBON: General-purpose Information-Based Bayesian OptimisatioN"

45 / 45 papers shown

Title
Emulation of physical processes with Emukit Andrei Paleyes Mark Pullin Maren Mahsereci Cliff McCollum Neil D. Lawrence Javier I. González 58 80 0 25 Oct 2021
Mercer Features for Efficient Combinatorial Bayesian Optimization Aryan Deshwal Syrine Belakaria J. Doppa 59 32 0 14 Dec 2020
Improved Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints Daniel Fernández-Sánchez Eduardo C. Garrido-Merchán Daniel Hernández-Lobato 46 31 0 02 Nov 2020
Gaussian Process Molecule Property Prediction with FlowMO Henry B. Moss Ryan-Rhys Griffiths 86 23 0 02 Oct 2020
BOSS: Bayesian Optimization over String Spaces Henry B. Moss Daniel Beck Javier I. González David S. Leslie Paul Rayson 41 68 0 02 Oct 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 60 133 0 01 Sep 2020
BOSH: Bayesian Optimization by Sampling Hierarchically Henry B. Moss David S. Leslie Paul Rayson 41 8 0 02 Jul 2020
MUMBO: MUlti-task Max-value Bayesian Optimization Henry B. Moss David S. Leslie Paul Rayson 56 34 0 22 Jun 2020
Scalable Thompson Sampling using Sparse Gaussian Process Models Sattar Vakili Henry B. Moss A. Artemev Vincent Dutordoir Victor Picheny 37 35 0 09 Jun 2020
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization Henry B. Moss Vatsal Aggarwal N. Prateek Javier I. González Roberto Barra-Chicote BDL 31 57 0 04 Feb 2020
Bayesian Optimization Allowing for Common Random Numbers Michael Pearce Matthias Poloczek Juergen Branke BDL 46 23 0 21 Oct 2019
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design Shali Jiang Henry Chai Javier I. González Roman Garnett OffRL 65 50 0 10 Sep 2019
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms Henry B. Moss Andrew Moore David S. Leslie Paul Rayson 37 5 0 28 Jun 2019
Bayesian Optimisation over Multiple Continuous and Categorical Inputs Binxin Ru A. Alvi Vu Nguyen Michael A. Osborne Stephen J. Roberts 93 97 0 20 Jun 2019
Deep Gaussian Processes for Multi-fidelity Modeling Kurt Cutajar Mark Pullin Andreas C. Damianou Neil D. Lawrence Javier I. González AI4CE 44 110 0 18 Mar 2019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation A. Alvi Binxin Ru Jan-Peter Calliess Stephen J. Roberts Michael A. Osborne 50 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 57 40 0 24 Jan 2019
Bayesian Optimization in AlphaGo Yutian Chen Aja Huang Ziyun Wang Ioannis Antonoglou Julian Schrittwieser David Silver Nando de Freitas BDL 59 114 0 17 Dec 2018
Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models Henry B. Moss David S. Leslie Paul Rayson 28 32 0 19 Jun 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 74 607 0 11 Feb 2018
Fast Information-theoretic Bayesian Optimisation Binxin Ru Mark McLeod Diego Granziol Michael A. Osborne 49 49 0 02 Nov 2017
Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato BDL 114 76 0 16 Sep 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 58 183 0 06 Jun 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 50 221 0 18 Mar 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 64 124 0 06 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 143 410 0 06 Mar 2017
Grammar Variational Autoencoder Matt J. Kusner Brooks Paige José Miguel Hernández-Lobato BDL DRL 75 840 0 06 Mar 2017
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes Tarun Kathuria Amit Deshpande Pushmeet Kohli GP 44 103 0 13 Nov 2016
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 147 2,921 0 07 Oct 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization Jian Wu P. Frazier ODL BDL 43 224 0 14 Jun 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 74 549 0 23 May 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 248 4,778 0 04 Jan 2016
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions Amar Shah Zoubin Ghahramani 64 159 0 23 Nov 2015
Predictive Entropy Search for Multi-objective Bayesian Optimization Daniel Hernández-Lobato José Miguel Hernández-Lobato Amar Shah Ryan P. Adams 145 189 0 17 Nov 2015
GLASSES: Relieving The Myopia Of Bayesian Optimisation Javier I. González Michael A. Osborne Neil D. Lawrence 60 119 0 21 Oct 2015
Learning Structural Kernels for Natural Language Processing Daniel Beck Trevor Cohn Christian Hardmeier Lucia Specia BDL 29 19 0 10 Aug 2015
Batch Bayesian Optimization via Local Penalization Javier I. González Zhenwen Dai Philipp Hennig Neil D. Lawrence 70 353 0 29 May 2015
Bayesian Optimization for Synthetic Gene Design Javier I. González Joseph Longworth D. James Neil D. Lawrence 62 79 0 07 May 2015
Differentiating the multipoint Expected Improvement for optimal batch design Sébastien Marmin C. Chevalier D. Ginsbourger 52 51 0 18 Mar 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 96 647 0 10 Jun 2014
Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration E. Contal David Buffoni Alexandre Robicquet Nicolas Vayatis 58 213 0 19 Apr 2013
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic Loic Le Gratiet AI4CE 116 295 0 02 Oct 2012
Determinantal point processes for machine learning Alex Kulesza B. Taskar 235 1,138 0 25 Jul 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 335 7,923 0 13 Jun 2012
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 116 673 0 06 Dec 2011