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Batched Large-scale Bayesian Optimization in High-dimensional Spaces

5 June 2017

Papers citing "Batched Large-scale Bayesian Optimization in High-dimensional Spaces"

28 / 28 papers shown

Title
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 147 0 0 28 Jan 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems Yunyue Wei Zeji Yi Hongda Li Saraswati Soedarmadji Yanan Sui 73 0 0 31 Dec 2024
Respecting the limit:Bayesian optimization with a bound on the optimal value Hanyang Wang Juergen Branke Matthias Poloczek 78 0 0 07 Nov 2024
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models Xinxing Shi Thomas Baldwin-McDonald Mauricio A. Álvarez 127 0 0 01 Jul 2024
Asynchronous Parallel Bayesian Optimisation via Thompson Sampling Kirthevasan Kandasamy A. Krishnamurthy J. Schneider Barnabás Póczós 48 30 0 25 May 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 66 124 0 06 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 165 412 0 06 Mar 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 348 4,635 0 10 Nov 2016
The Mondrian Kernel Matej Balog Balaji Lakshminarayanan Zoubin Ghahramani Daniel M. Roy Yee Whye Teh 142 27 0 16 Jun 2016
Bayesian Optimization with Exponential Convergence Kenji Kawaguchi L. Kaelbling Tomás Lozano-Pérez 77 108 0 05 Apr 2016
Generalization Properties of Learning with Random Features Alessandro Rudi Lorenzo Rosasco MLT 84 331 0 14 Feb 2016
Optimization as Estimation with Gaussian Processes in Bandit Settings Zi Wang Bolei Zhou Stefanie Jegelka GP 68 78 0 21 Oct 2015
The Mondrian Process for Machine Learning Matej Balog Yee Whye Teh 42 9 0 18 Jul 2015
Mondrian Forests for Large-Scale Regression when Uncertainty Matters Balaji Lakshminarayanan Daniel M. Roy Yee Whye Teh UQCV 68 56 0 11 Jun 2015
Batch Bayesian Optimization via Local Penalization Javier I. González Zhenwen Dai Philipp Hennig Neil D. Lawrence 104 357 0 29 May 2015
Bayesian Optimization for Synthetic Gene Design Javier I. González Joseph Longworth D. James Neil D. Lawrence 67 79 0 07 May 2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models Kirthevasan Kandasamy J. Schneider Barnabás Póczós 58 356 0 05 Mar 2015
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 95 1,045 0 19 Feb 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 73 341 0 10 Feb 2015
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 107 647 0 10 Jun 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 107 1,235 0 26 Sep 2013
Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration E. Contal David Buffoni Alexandre Robicquet Nicolas Vayatis 82 213 0 19 Apr 2013
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 183 446 0 09 Jan 2013
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization Thomas Desautels Andreas Krause J. W. Burdick 104 473 0 27 Jun 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 373 7,957 0 13 Jun 2012
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 123 673 0 06 Dec 2011
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 152 1,624 0 21 Dec 2009
Bayesian treed Gaussian process models with an application to computer modeling R. Gramacy Herbert K. H. Lee 194 680 0 24 Oct 2007