Risk-averse Heteroscedastic Bayesian Optimization

5 November 2021

Papers citing "Risk-averse Heteroscedastic Bayesian Optimization"

20 / 20 papers shown

Title
Risk-aware black-box portfolio construction using Bayesian optimization with adaptive weighted Lagrangian estimator Zinuo You John Cartlidge Karen Elliott Menghan Ge Daniel Gold 37 0 0 18 Apr 2025
Why risk matters for protein binder design Tudor-Stefan Cotet Igor Krawczuk 51 0 0 31 Mar 2025
Batched Energy-Entropy acquisition for Bayesian Optimization Felix Teufel Carsten Stahlhut J. Ferkinghoff-Borg 43 0 0 11 Oct 2024
Theoretical Analysis of Heteroscedastic Gaussian Processes with Posterior Distributions Yuji Ito 13 0 0 19 Sep 2024
A Comparative Study of Hyperparameter Tuning Methods Subhasis Dasgupta Jaydip Sen 24 2 0 29 Aug 2024
Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions Marshal Arijona Sinaga Julien Martinelli Vikas K. Garg Samuel Kaski 25 1 0 23 May 2024
A Safety-Critical Framework for UGVs in Complex Environments: A Data-Driven Discrepancy-Aware Approach Skylar X. Wei Lu Gan J. W. Burdick 50 0 0 05 Mar 2024
Likelihood Ratio Confidence Sets for Sequential Decision Making N. Emmenegger Mojmír Mutný Andreas Krause 24 10 0 08 Nov 2023
Batch Bayesian Optimization for Replicable Experimental Design Zhongxiang Dai Q. Nguyen Sebastian Shenghong Tay Daisuke Urano Richalynn Leong Bryan Kian Hsiang Low Patrick Jaillet 23 4 0 02 Nov 2023
Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints Fengxue Zhang Zejie Zhu Yuxin Chen 43 2 0 12 Oct 2023
Adversarial Causal Bayesian Optimization Scott Sussex Pier Giuseppe Sessa A. Makarova Andreas Krause 19 3 0 31 Jul 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Fengxue Zhang Jialin Song James Bowden Alexander Ladd Yisong Yue Thomas Desautels Yuxin Chen 32 6 0 25 Jul 2023
Safe Risk-averse Bayesian Optimization for Controller Tuning Christopher Koenig Miks Ozols Anastasia Makarova Efe C. Balta Andreas Krause Alisa Rupenyan 9 8 0 23 Jun 2023
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty Yu Inatsu Shion Takeno Hiroyuki Hanada Kazuki Iwata Ichiro Takeuchi 32 4 0 27 Jan 2023
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data Prithvi Akella Skylar X. Wei J. W. Burdick Aaron D. Ames 37 4 0 12 Dec 2022
Bayesian Optimization with Conformal Prediction Sets Samuel Stanton Wesley J. Maddox A. Wilson 47 24 0 22 Oct 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits Ilija Bogunovic Zihan Li Andreas Krause Jonathan Scarlett 19 7 0 03 Feb 2022
Automatic Termination for Hyperparameter Optimization Anastasia Makarova Huibin Shen Valerio Perrone Aaron Klein Jean Baptiste Faddoul Andreas Krause Matthias Seeger Cédric Archambeau 38 22 0 16 Apr 2021
Bayesian Quantile and Expectile Optimisation Victor Picheny Henry B. Moss Léonard Torossian N. Durrande 19 21 0 12 Jan 2020
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Ilija Bogunovic Jonathan Scarlett Andreas Krause V. Cevher 72 89 0 24 Oct 2016