High-Dimensional Bayesian Optimization via Additive Models with
Overlapping Groups

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High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups

20 February 2018

Jonathan Scarlett

Ilija Bogunovic

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Papers citing "High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups"

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Title
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization Xingchen Ma Matthew B. Blaschko 75 7 0 21 Jun 2020
Learning to Guide Random Search Ozan Sener V. Koltun ODL 69 21 0 25 Apr 2020
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 114 53 0 04 Mar 2020
Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters Bozhou Chen Kaixin Zhang Longshen Ou Chenmin Ba Hongzhi Wang Chunnan Wang 67 2 0 03 Mar 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 95 102 0 20 Feb 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 122 116 0 31 Jan 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 65 14 0 27 Nov 2019
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 106 474 0 03 Oct 2019
Bayesian Optimization under Heavy-tailed Payoffs Sayak Ray Chowdhury Aditya Gopalan 65 27 0 16 Sep 2019
High Dimensional Bayesian Optimization via Supervised Dimension Reduction Miao Zhang Huiqi Li Steven W. Su 56 44 0 21 Jul 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 90 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 95 178 0 15 Mar 2019
High-dimensional Bayesian optimization using low-dimensional feature spaces Riccardo Moriconi M. Deisenroth K. S. S. Kumar 212 11 0 27 Feb 2019
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces Johannes Kirschner Mojmír Mutný N. Hiller R. Ischebeck Andreas Krause 106 149 0 08 Feb 2019
Adversarially Robust Optimization with Gaussian Processes Ilija Bogunovic Jonathan Scarlett Stefanie Jegelka Volkan Cevher GP AAML 83 127 0 25 Oct 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 103 155 0 06 Jul 2018
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 189 29 0 30 May 2018
On the choice of the low-dimensional domain for global optimization via random embeddings M. Binois D. Ginsbourger O. Roustant 100 62 0 18 Apr 2017