A model aggregation approach for high-dimensional large-scale
optimization

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A model aggregation approach for high-dimensional large-scale optimization

16 May 2022

Giulia Pedrielli

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Papers citing "A model aggregation approach for high-dimensional large-scale optimization"

19 / 19 papers shown

Title
Combined Global and Local Search for Optimization with Gaussian Process Models Qun Meng Songhao Wang Szu Hui Ng 21 11 0 07 Jul 2021
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces David Eriksson M. Jankowiak 74 145 0 27 Feb 2021
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control Rel Guzman Rafael Oliveira F. Ramos 95 15 0 01 Oct 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 93 115 0 31 Jan 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 86 473 0 03 Oct 2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs Yusuke Tanaka Toshiyuki Tanaka Tomoharu Iwata Takeshi Kurashima Maya Okawa Yasunori Akagi Hiroyuki Toda 41 27 0 19 Jul 2019
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 56 136 0 05 Jun 2018
High Dimensional Bayesian Optimization Using Dropout Cheng Li Sunil R. Gupta Santu Rana Vu Nguyen Svetha Venkatesh A. Shilton 45 130 0 15 Feb 2018
Batched Large-scale Bayesian Optimization in High-dimensional Spaces Zi Wang Clement Gehring Pushmeet Kohli Stefanie Jegelka UQCV 54 216 0 05 Jun 2017
Parallel Bayesian Global Optimization of Expensive Functions Jialei Wang Scott C. Clark Eric Liu P. Frazier 46 161 0 16 Feb 2016
Batch Bayesian Optimization via Local Penalization Javier I. González Zhenwen Dai Philipp Hennig Neil D. Lawrence 81 357 0 29 May 2015
Differentiating the multipoint Expected Improvement for optimal batch design Sébastien Marmin C. Chevalier D. Ginsbourger 52 52 0 18 Mar 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
A warped kernel improving robustness in Bayesian optimization via random embeddings M. Binois D. Ginsbourger O. Roustant 58 42 0 13 Nov 2014
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 170 445 0 09 Jan 2013
Random Projections for Linear Support Vector Machines Saurabh Paul Christos Boutsidis M. Magdon-Ismail P. Drineas 89 51 0 26 Nov 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 359 7,954 0 13 Jun 2012
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 120 673 0 06 Dec 2011