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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"

50 / 68 papers shown

Title
Learning Low-Dimensional Embeddings for Black-Box Optimization Riccardo Busetto Manas Mejari Marco Forgione Alberto Bemporad Dario Piga 154 0 0 02 May 2025
Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion Zeyang Zheng Arman Hosseini Dong Chen Omid Shoghli Arsalan Heydarian 73 0 0 04 Apr 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
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
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces Quoc-Anh Hoang Nguyen The Hung Tran 122 2 0 21 Dec 2024
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 166 3 0 17 Oct 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
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms Yu Inatsu Shion Takeno Kentaro Kutsukake Ichiro Takeuchi 74 3 0 06 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 74 5 0 07 Jun 2024
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space Peiyu Yu Dinghuai Zhang Hengzhi He Xiaojian Ma Ruiyao Miao ... Deqian Kong Ruiqi Gao Jianwen Xie Guang Cheng Ying Nian Wu 103 6 0 27 May 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 108 5 0 18 Apr 2024
A Preliminary Study on Accelerating Simulation Optimization with GPU Implementation Jinghai He Haoyu Liu Yuhang Wu Zeyu Zheng Tingyu Zhu 32 0 0 17 Apr 2024
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR Yasunori Taguchi H. Gangi 39 0 0 13 Mar 2024
Combining additivity and active subspaces for high-dimensional Gaussian process modeling M. Binois Victor Picheny 92 0 0 06 Feb 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 99 28 0 03 Feb 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization J. Kuba Masatoshi Uehara Pieter Abbeel Sergey Levine AI4CE 116 6 0 08 Jan 2024
Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 78 0 0 02 Oct 2023
Learning Relevant Contextual Variables Within Bayesian Optimization Julien Martinelli Ayush Bharti A. Tiihonen S. T. John Louis Filstroff Sabina J. Sloman Patrick Rinke Samuel Kaski 102 0 0 23 May 2023
Representing Additive Gaussian Processes by Sparse Matrices Lu Zou Haoyuan Chen Liang Ding 53 0 0 29 Apr 2023
Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization Mengying Lei Lijun Sun 62 1 0 28 Feb 2023
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization Jiayu Zhao Renyu Yang Shenghao Qiu Zheng Wang 94 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 86 5 0 08 Feb 2023
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? Juliusz Ziomek Haitham Bou-Ammar 109 24 0 30 Jan 2023
Monte Carlo Tree Descent for Black-Box Optimization Yaoguang Zhai Sicun Gao 44 3 0 01 Nov 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization Lei Song Ke Xue Xiaobin Huang Chaojun Qian 123 34 0 04 Oct 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 77 3 0 04 Aug 2022
Graph Neural Network Bandits Parnian Kassraie Andreas Krause Ilija Bogunovic 102 12 0 13 Jul 2022
High-Dimensional Bayesian Optimization with Constraints: Application to Powder Weighing Shoki Miyagawa Atsuyoshi Yano N. Sawada Isamu Ogawa 61 0 0 13 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 88 233 0 07 Jun 2022
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization Gilhyun Ryou E. Tal S. Karaman 73 4 0 01 Jun 2022
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis Kirill Antonov Elena Raponi Hao Wang Carola Doerr 64 11 0 28 Apr 2022
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation George De Ath Tinkle Chugh Alma A. M. Rahat 75 4 0 31 Mar 2022
Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap Quantification Prithvi Akella Wyatt Ubellacker Aaron D. Ames 65 4 0 04 Jan 2022
Stochastic Gradient Line Bayesian Optimization for Efficient Noise-Robust Optimization of Parameterized Quantum Circuits Shiro Tamiya H. Yamasaki 71 24 0 15 Nov 2021
Adversarial Attacks on Gaussian Process Bandits E. Han Jonathan Scarlett GP AAML 65 6 0 16 Oct 2021
Gaussian Process Bandit Optimization with Few Batches Zihan Li Jonathan Scarlett GP 206 49 0 15 Oct 2021
Scaling Bayesian Optimization With Game Theory L. Mathesen G. Pedrielli R. L. Smith 93 1 0 07 Oct 2021
Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning Hanwei Fan Jiandong Mu W. Zhang 77 5 0 22 Sep 2021
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection Yi Shen Carl Kingsford 79 10 0 20 Sep 2021
Pre-trained Gaussian processes for Bayesian optimization Zehao Wang George E. Dahl Kevin Swersky Chansoo Lee Zachary Nado Justin Gilmer Jasper Snoek Zoubin Ghahramani 151 46 0 16 Sep 2021
High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids Liang Ding Rui Tuo Xiaowei Zhang 71 3 0 19 Jul 2021
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling Kai Wang Bryan Wilder S. Suen B. Dilkina Milind Tambe 356 0 0 07 Jul 2021
Parallelizing Thompson Sampling Amin Karbasi Vahab Mirrokni M. Shadravan 116 25 0 02 Jun 2021
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models E. Han Ishank Arora Jonathan Scarlett TPM AI4CE 73 17 0 24 Dec 2020
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback Yijie Zhou Yan Zhang Xusheng Luo Michael M. Zavlanos 60 5 0 03 Nov 2020
Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation Xingchen Ma Matthew B. Blaschko 13 6 0 06 Oct 2020
Parameter Optimization using high-dimensional Bayesian Optimization David Yenicelik 72 2 0 05 Oct 2020
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces Hung The Tran Sunil R. Gupta Santu Rana Huong Ha Svetha Venkatesh 78 7 0 05 Sep 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