Bayesian Optimization in a Billion Dimensions via Random Embeddings

9 January 2013

Papers citing "Bayesian Optimization in a Billion Dimensions via Random Embeddings"

21 / 71 papers shown

Title
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 33 95 0 20 Feb 2020
Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection Lukas P. Frohlich Edgar D. Klenske Christian Daniel M. Zeilinger 18 12 0 21 Jan 2020
Randomly Projected Additive Gaussian Processes for Regression Ian A. Delbridge D. Bindel A. Wilson 27 27 0 30 Dec 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
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 48 450 0 03 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 29 54 0 27 Sep 2019
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems D. Mguni Joel Jennings Sergio Valcarcel Macua Emilio Sison S. Ceppi Enrique Munoz de Cote 11 39 0 30 Jan 2019
Auto-tuning Distributed Stream Processing Systems using Reinforcement Learning Luis M. Vaquero Félix Cuadrado OffRL 27 18 0 14 Sep 2018
A Tutorial on Bayesian Optimization P. Frazier GP 15 1,737 0 08 Jul 2018
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
Bayesian Optimization of Combinatorial Structures Ricardo Baptista Matthias Poloczek 22 135 0 22 Jun 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 23 134 0 05 Jun 2018
Entropy-based closure for probabilistic learning on manifolds Christian Soize R. Ghanem C. Safta Xun Huan Zachary P. Vane J. Oefelein G. Lacaze H. Najm Q. Tang X. Chen 11 28 0 21 Mar 2018
ZOOpt: Toolbox for Derivative-Free Optimization Yu-Ren Liu Yi-Qi Hu Hong Qian Chao Qian Yang Yu GP 24 28 0 31 Dec 2017
Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato BDL 39 76 0 16 Sep 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
Inverse Reinforcement Learning from Summary Data A. Kangasrääsiö Samuel Kaski OffRL 24 15 0 28 Mar 2017
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes Vu Nguyen Santu Rana Sunil R. Gupta Cheng Li Svetha Venkatesh 31 9 0 15 Mar 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang Chengtao Li Stefanie Jegelka Pushmeet Kohli 29 124 0 06 Mar 2017
Bayesian Multi-Scale Optimistic Optimization Ziyun Wang B. Shakibi L. Jin Nando de Freitas 80 95 0 27 Feb 2014
Active Learning of Linear Embeddings for Gaussian Processes Roman Garnett Michael A. Osborne Philipp Hennig GP 54 91 0 24 Oct 2013