High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups

20 February 2018

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

30 / 30 papers shown

Title
Learning Low-Dimensional Embeddings for Black-Box Optimization Riccardo Busetto Manas Mejari Marco Forgione Alberto Bemporad Dario Piga 24 0 0 02 May 2025
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 62 2 0 17 Oct 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 49 4 0 07 Jun 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 54 5 0 18 Apr 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 39 17 0 03 Feb 2024
Representing Additive Gaussian Processes by Sparse Matrices Lu Zou Haoyuan Chen Liang Ding 28 0 0 29 Apr 2023
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization Jiayu Zhao Renyu Yang Shenghao Qiu Zheng Wang 24 4 0 16 Feb 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning Volodymyr Tkachuk Seyed Alireza Bakhtiari Johannes Kirschner Matej Jusup Ilija Bogunovic Csaba Szepesvári 32 5 0 08 Feb 2023
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 26 3 0 04 Aug 2022
Graph Neural Network Bandits Parnian Kassraie Andreas Krause Ilija Bogunovic 31 11 0 13 Jul 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 42 200 0 07 Jun 2022
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization Gilhyun Ryou E. Tal S. Karaman 32 4 0 01 Jun 2022
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis Kirill Antonov Elena Raponi Hao Wang Carola Doerr 27 10 0 28 Apr 2022
Scaling Bayesian Optimization With Game Theory L. Mathesen G. Pedrielli R. L. Smith 26 1 0 07 Oct 2021
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling Kai Wang Bryan Wilder S. Suen B. Dilkina Milind Tambe 180 0 0 07 Jul 2021
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models E. Han Ishank Arora Jonathan Scarlett TPM AI4CE 33 17 0 24 Dec 2020
Parameter Optimization using high-dimensional Bayesian Optimization David Yenicelik 30 2 0 05 Oct 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search Linnan Wang Rodrigo Fonseca Yuandong Tian 43 126 0 01 Jul 2020
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization Xingchen Ma Matthew B. Blaschko 34 7 0 21 Jun 2020
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 35 51 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 24 2 0 03 Mar 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 33 95 0 20 Feb 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization Hung The Tran Sunil R. Gupta Santu Rana Svetha Venkatesh 22 14 0 27 Nov 2019
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 51 452 0 03 Oct 2019
High Dimensional Bayesian Optimization via Supervised Dimension Reduction Miao Zhang Huiqi Li Steven W. Su 24 44 0 21 Jul 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 24 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 34 174 0 15 Mar 2019
High-dimensional Bayesian optimization using low-dimensional feature spaces Riccardo Moriconi M. Deisenroth K. S. S. Kumar 14 11 0 27 Feb 2019
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
Tight Regret Bounds for Bayesian Optimization in One Dimension Jonathan Scarlett 41 27 0 30 May 2018