Joint Optimization and Variable Selection of High-dimensional Gaussian Processes

27 June 2012

Papers citing "Joint Optimization and Variable Selection of High-dimensional Gaussian Processes"

37 / 37 papers shown

Title
High-dimensional Nonparametric Contextual Bandit Problem Shogo Iwazaki Junpei Komiyama Masaaki Imaizumi 67 0 0 20 May 2025
High Dimensional Bayesian Optimization using Lasso Variable Selection Vu Viet Hoang Hung The Tran Sunil R. Gupta Vu Nguyen 183 0 0 02 Apr 2025
Sparse Nonparametric Contextual Bandits Hamish Flynn Julia Olkhovskaya Paul Rognon-Vael 122 0 0 20 Mar 2025
Exploiting Concavity Information in Gaussian Process Contextual Bandit Optimization Kevin Li Eric Laber 88 0 0 13 Mar 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization Taeyoung Yun Kiyoung Om Jaewoo Lee Sujin Yun Jinkyoo Park 119 2 0 24 Feb 2025
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems Yunyue Wei Zeji Yi Hongda Li Saraswati Soedarmadji Yanan Sui 99 0 0 31 Dec 2024
Swine Diet Design using Multi-objective Regionalized Bayesian Optimization Gabriel D. Uribe-Guerra Danny A. Múnera-Ramírez Julián D. Arias-Londoño 63 0 0 19 Sep 2024
High dimensional Bayesian Optimization via Condensing-Expansion Projection Jiaming Lu Rong J.B. Zhu 79 1 0 09 Aug 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 72 5 0 07 Jun 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 108 5 0 18 Apr 2024
Adaptive Selective Sampling for Online Prediction with Experts R. Castro Fredrik Hellström T. Erven 56 2 0 16 Feb 2023
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 88 233 0 07 Jun 2022
Scaling Bayesian Optimization With Game Theory L. Mathesen G. Pedrielli R. L. Smith 93 1 0 07 Oct 2021
Non-smooth Bayesian Optimization in Tuning Problems Hengrui Luo J. Demmel Younghyun Cho Xin Li Yang Liu 70 13 0 15 Sep 2021
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces David Eriksson M. Jankowiak 113 148 0 27 Feb 2021
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models E. Han Ishank Arora Jonathan Scarlett TPM AI4CE 73 17 0 24 Dec 2020
Scalable Bayesian Optimization with Sparse Gaussian Process Models Ang Yang 50 0 0 26 Oct 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 113 128 0 01 Jul 2020
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
High Dimensional Bayesian Optimization via Supervised Dimension Reduction Miao Zhang Huiqi Li Steven W. Su 56 44 0 21 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 95 177 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
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 85 137 0 05 Jun 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups Paul Rolland Jonathan Scarlett Ilija Bogunovic Volkan Cevher 98 115 0 20 Feb 2018
Learning to Race through Coordinate Descent Bayesian Optimisation Rafael Oliveira Fernando H. M. Rocha Lionel Ott Vitor Campagnolo Guizilini F. Ramos V. Grassi 47 9 0 17 Feb 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
Embedded Bandits for Large-Scale Black-Box Optimization Abdullah Al-Dujaili Suresh Sundaram 45 4 0 27 Nov 2016
Optimization as Estimation with Gaussian Processes in Bandit Settings Zi Wang Bolei Zhou Stefanie Jegelka GP 107 78 0 21 Oct 2015
The Knowledge Gradient Policy Using A Sparse Additive Belief Model Yan Li Han Liu Warrren B Powell BDL 80 3 0 18 Mar 2015
High Dimensional Bayesian Optimisation and Bandits via Additive Models Kirthevasan Kandasamy J. Schneider Barnabás Póczós 131 356 0 05 Mar 2015
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models Michael U. Gutmann J. Corander 232 288 0 14 Jan 2015
Bayesian Multi-Scale Optimistic Optimization Ziyun Wang B. Shakibi L. Jin Nando de Freitas 132 95 0 27 Feb 2014
Stochastic continuum armed bandit problem of few linear parameters in high dimensions Hemant Tyagi Sebastian U. Stich B. Gärtner 73 0 0 01 Dec 2013
Active Learning of Linear Embeddings for Gaussian Processes Roman Garnett Michael A. Osborne Philipp Hennig GP 124 92 0 24 Oct 2013
Continuum armed bandit problem of few variables in high dimensions Hemant Tyagi B. Gärtner 96 14 0 21 Apr 2013
Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration E. Contal David Buffoni Alexandre Robicquet Nicolas Vayatis 110 214 0 19 Apr 2013
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 219 447 0 09 Jan 2013