Re-Examining Linear Embeddings for High-Dimensional Bayesian
Optimization

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

31 January 2020

Benjamin Letham

Roberto Calandra

Papers citing "Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization"

11 / 11 papers shown

Title
Learning Low-Dimensional Embeddings for Black-Box Optimization Riccardo Busetto Manas Mejari Marco Forgione Alberto Bemporad Dario Piga 10 0 0 02 May 2025
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 32 5 0 18 Apr 2024
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Fengxue Zhang Jialin Song James Bowden Alexander Ladd Yisong Yue Thomas A. Desautels Yuxin Chen 25 6 0 25 Jul 2023
Gradient-Free Textual Inversion Zhengcong Fei Mingyuan Fan Junshi Huang DiffM 13 31 0 12 Apr 2023
Falsification of Cyber-Physical Systems using Bayesian Optimization Zahra Ramezani Kenan Sehic Luigi Nardi K. Åkesson 19 1 0 14 Sep 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 11 3 0 04 Aug 2022
Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics Mike Diessner Joseph O’Connor A. Wynn S. Laizet Yu Guan Kevin J. Wilson Richard D. Whalley 22 18 0 19 Jul 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates A. Maraval Matthieu Zimmer Antoine Grosnit Rasul Tutunov Jun Wang H. Ammar 17 2 0 27 May 2022
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution Lixue Cheng Ziyi Yang Chang-Yu Hsieh Ben Liao Shengyu Zhang 19 6 0 19 May 2022
Black-Box Tuning for Language-Model-as-a-Service Tianxiang Sun Yunfan Shao Hong Qian Xuanjing Huang Xipeng Qiu VLM 21 254 0 10 Jan 2022
Variable noise and dimensionality reduction for sparse Gaussian processes Edward Snelson Zoubin Ghahramani 75 74 0 27 Jun 2012