Bayesian optimisation under uncertain inputs

21 February 2019

Papers citing "Bayesian optimisation under uncertain inputs"

27 / 27 papers shown

Title
Dose-finding design based on level set estimation in phase I cancer clinical trials Keiichiro Seno Kota Matsui S. Iwazaki Yu Inatsu Shion Takeno Shigeyuki Matsui 29 0 0 12 Apr 2025
Indirect Query Bayesian Optimization with Integrated Feedback Mengyan Zhang S. Bouabid Cheng Soon Ong Seth Flaxman Dino Sejdinovic 86 0 0 18 Dec 2024
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems Jack M. Buckingham Ivo Couckuyt Juergen Branke 43 0 0 30 Aug 2024
Robust Entropy Search for Safe Efficient Bayesian Optimization D. Weichert Alexander Kister Sebastian Houben Patrick Link G. Ernis AAML 57 0 0 29 May 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation Xiaobin Huang Lei Song Ke Xue Chao Qian 42 3 0 16 Dec 2023
Efficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs Lin Yang Junlong Lyu Wenlong Lyu Zhitang Chen 23 2 0 31 Oct 2023
Robust Bayesian Satisficing Artun Saday Yacsar Cahit Yildirim Cem Tekin 80 2 0 16 Aug 2023
Robust expected improvement for Bayesian optimization R. Christianson R. Gramacy 26 9 0 16 Feb 2023
Robust Bayesian Target Value Optimization J. G. Hoffer Sascha Ranftl Bernhard C. Geiger 28 9 0 11 Jan 2023
Sequential Decision Making on Unmatched Data using Bayesian Kernel Embeddings Diego Martinez-Taboada Dino Sejdinovic BDL 13 1 0 25 Oct 2022
Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR) Matthew Malencia Sandeep Manjanna M. A. Hsieh George Pappas Vijay Kumar 35 8 0 11 Aug 2022
$Distributionally Robust Bayesian Optimization with $\varphi$-divergences$ Distributionally Robust Bayesian Optimization with $\varphi$ -divergences Hisham Husain Vu-Linh Nguyen Anton Van Den Hengel 40 13 0 04 Mar 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise Sam Daulton Sait Cakmak Maximilian Balandat Michael A. Osborne Enlu Zhou E. Bakshy AAML 28 36 0 15 Feb 2022
Bayesian Optimization for Cascade-type Multi-stage Processes Shunya Kusakawa Shion Takeno Yu Inatsu Kentaro Kutsukake S. Iwazaki Takashi Nakano T. Ujihara Masayuki Karasuyama Ichiro Takeuchi 25 18 0 16 Nov 2021
Active learning for distributionally robust level-set estimation Yu Inatsu S. Iwazaki Ichiro Takeuchi 19 15 0 08 Feb 2021
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning A. Tompkins Rafael Oliveira F. Ramos 16 6 0 09 Oct 2020
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure S. Iwazaki Yu Inatsu Ichiro Takeuchi TPM 32 11 0 22 Jun 2020
Bayesian Optimization with Missing Inputs P. Luong Dang Nguyen Sunil R. Gupta Santu Rana Svetha Venkatesh 29 3 0 19 Jun 2020
Informative Path Planning for Extreme Anomaly Detection in Environment Exploration and Monitoring A. Blanchard T. Sapsis 11 22 0 20 May 2020
Bayesian Optimization with Output-Weighted Optimal Sampling A. Blanchard T. Sapsis 19 7 0 22 Apr 2020
Robust Policy Search for Robot Navigation Javier Garcia-Barcos Ruben Martinez-Cantin 13 0 0 02 Mar 2020
Mixed Strategies for Robust Optimization of Unknown Objectives Pier Giuseppe Sessa Ilija Bogunovic Maryam Kamgarpour Andreas Krause 31 11 0 28 Feb 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 32 77 0 20 Feb 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization Lukas P. Frohlich Edgar D. Klenske Julia Vinogradska Christian Daniel Melanie Zeilinger 42 36 0 07 Feb 2020
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty S. Iwazaki Yu Inatsu Ichiro Takeuchi 28 15 0 26 Oct 2019
Active learning for level set estimation under cost-dependent input uncertainty Yu Inatsu Masayuki Karasuyama Keiichi Inoue Ichiro Takeuchi 13 4 0 13 Sep 2019
Stochastic Bandits with Context Distributions Johannes Kirschner Andreas Krause 29 30 0 06 Jun 2019