High Dimensional Bayesian Optimization Using Dropout

15 February 2018

Papers citing "High Dimensional Bayesian Optimization Using Dropout"

21 / 21 papers shown

Title
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 46 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 34 17 0 03 Feb 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC Zeji Yi Yunyue Wei Chu Xin Cheng Kaibo He Yanan Sui 30 5 0 05 Jan 2024
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization Anthony Bardou Patrick Thiran Thomas Begin 24 4 0 31 May 2023
B2Opt: Learning to Optimize Black-box Optimization with Little Budget Xiaobin Li K. Wu Xiaoyu Zhang Handing Wang Qingbin Liu 32 9 0 24 Apr 2023
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization Jiayu Zhao Renyu Yang Shenghao Qiu Zheng Wang 19 4 0 16 Feb 2023
A Bayesian Optimization approach for calibrating large-scale activity-based transport models S. Agriesti Vladimir Kuzmanovski Jaakko Hollmén C. Roncoli Bat-hen Nahmias-Biran 29 5 0 07 Feb 2023
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI) Alexander E. Siemenn Zekun Ren Qianxiao Li Tonio Buonassisi 48 23 0 26 Aug 2022
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization Gilhyun Ryou E. Tal S. Karaman 32 4 0 01 Jun 2022
A model aggregation approach for high-dimensional large-scale optimization Haowei Wang Ercong Zhang Szu Hui Ng Giulia Pedrielli 22 1 0 16 May 2022
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis Kirill Antonov Elena Raponi Hao Wang Carola Doerr 27 10 0 28 Apr 2022
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models E. Han Ishank Arora Jonathan Scarlett TPM AI4CE 33 17 0 24 Dec 2020
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits Maegan Tucker Myra Cheng Ellen R. Novoseller Richard Cheng Yisong Yue J. W. Burdick Aaron D. Ames 27 38 0 13 Mar 2020
Traversing the Reality Gap via Simulator Tuning J. Collins Ross Brown Jurgen Leitner David Howard 36 14 0 03 Mar 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
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning Noémie Jaquier Leonel Rozo Sylvain Calinon Mathias Bürger 17 53 0 11 Oct 2019
Efficient Transfer Bayesian Optimization with Auxiliary Information Tomoharu Iwata Takuma Otsuka 21 2 0 17 Sep 2019
Accelerating Experimental Design by Incorporating Experimenter Hunches Cheng Li Santu Rana Sunil R. Gupta Vu Nguyen Svetha Venkatesh ... David Rubín de Celis Leal Teo Slezak Murray Height M. Mohammed I. Gibson 32 33 0 22 Jul 2019
High Dimensional Bayesian Optimization via Supervised Dimension Reduction Miao Zhang Huiqi Li Steven W. Su 21 44 0 21 Jul 2019
Interpretability with Accurate Small Models Abhishek Ghose Balaraman Ravindran 23 1 0 04 May 2019