Constrained Bayesian Optimization with Noisy Experiments

21 June 2017

Papers citing "Constrained Bayesian Optimization with Noisy Experiments"

42 / 42 papers shown

Title
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions Mickael Binois Jeffrey Larson 74 0 0 29 Apr 2025
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Natalie Maus Kyurae Kim Yimeng Zeng Haydn Thomas Jones Fangping Wan Marcelo Der Torossian Torres Cesar de la Fuente-Nunez Jacob R. Gardner 80 0 0 31 Jan 2025
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 146 0 0 06 Nov 2024
Active learning for affinity prediction of antibodies Alexandra Gessner Sebastian W. Ober Owen Vickery Dino Oglic Talip Uçar AI4CE 26 4 0 11 Jun 2024
TS-RSR: A provably efficient approach for batch bayesian optimization Zhaolin Ren Na Li 31 2 0 07 Mar 2024
Network Cascade Vulnerability using Constrained Bayesian Optimization Albert Y. S. Lam M. Anitescu A. Subramanyam 19 0 0 27 Apr 2023
The Impact of Expertise in the Loop for Exploring Machine Rationality Changkun Ou Sven Mayer A. Butz 20 5 0 11 Feb 2023
Domain Adaptation via Rebalanced Sub-domain Alignment Yi-Ling Liu Juncheng Dong Ziyang Jiang Ahmed Aloui Keyu Li Hunter Klein Vahid Tarokh David Carlson 34 2 0 03 Feb 2023
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives Matthias Feurer Katharina Eggensperger Eddie Bergman Florian Pfisterer B. Bischl Frank Hutter 51 5 0 08 Dec 2022
Bayesian Optimization of 2D Echocardiography Segmentation Tung Tran Joshua V. Stough Xiaoyan Zhang C. Haggerty 26 3 0 17 Nov 2022
Continuous Attribution of Episodical Outcomes for More Efficient and Targeted Online Measurement Alex Deng Michelle Du A. Matlin 28 0 0 28 Oct 2022
Learning Skill-based Industrial Robot Tasks with User Priors Matthias Mayr Carl Hvarfner Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 27 21 0 02 Aug 2022
A Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization Kyurae Kim Youngjae Kim Sungyong Park 21 12 0 12 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 199 0 07 Jun 2022
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization Shouri Hu Haowei Wang Zhongxiang Dai K. H. Low Szu Hui Ng 17 4 0 10 May 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders Samuel Stanton Wesley J. Maddox Nate Gruver Phillip M. Maffettone E. Delaney Peyton Greenside A. Wilson BDL 38 89 0 23 Mar 2022
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes Zhiyuan Jerry Lin Raul Astudillo P. Frazier E. Bakshy 21 38 0 21 Mar 2022
Sparse Bayesian Optimization Sulin Liu Qing Feng David Eriksson Benjamin Letham E. Bakshy 27 7 0 03 Mar 2022
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes Felix Jimenez Matthias Katzfuss 13 10 0 02 Mar 2022
Partial Likelihood Thompson Sampling Han Wu Stefan Wager LM&MA 30 1 0 02 Mar 2022
Two-step Lookahead Bayesian Optimization with Inequality Constraints Yunxiang Zhang Xinming Zhang P. Frazier 19 7 0 06 Dec 2021
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds Chao Qi Jianqin Yin UQCV 3DPC BDL 25 2 0 05 Dec 2021
Bayesian optimization of distributed neurodynamical controller models for spatial navigation Armin Hadzic Grace M. Hwang Kechen Zhang Kevin M. Schultz J. Monaco 21 5 0 31 Oct 2021
Failure-averse Active Learning for Physics-constrained Systems Cheolhei Lee Xing Wang Jianguo Wu Xiaowei Yue AI4CE 19 7 0 27 Oct 2021
Efficient Exploration in Binary and Preferential Bayesian Optimization T. Fauvel M. Chalk 19 7 0 18 Oct 2021
A portfolio approach to massively parallel Bayesian optimization M. Binois Nicholson T. Collier J. Ozik 21 9 0 18 Oct 2021
Non-smooth Bayesian Optimization in Tuning Problems Hengrui Luo J. Demmel Younghyun Cho Xin Li Yang Liu 19 13 0 15 Sep 2021
PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic Weicong Ding Hanlin Tang Jingshuo Feng Lei Yuan Sen Yang ... Dongying Kong Kai Ren Peng Jiang Qiao Lian Ji Liu 44 1 0 20 Aug 2021
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 Ryan Turner David Eriksson M. McCourt J. Kiili Eero Laaksonen Zhen Xu Isabelle M Guyon BDL 22 289 0 20 Apr 2021
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound Shion Takeno T. Tamura Kazuki Shitara Masayuki Karasuyama 37 17 0 19 Feb 2021
CompModels: A suite of computer model test functions for Bayesian optimization Tony Pourmohamad 9 5 0 20 Nov 2020
Real-world Video Adaptation with Reinforcement Learning Hongzi Mao Shannon Chen Drew Dimmery Shaun Singh Drew Blaisdell Yuandong Tian Mohammad Alizadeh E. Bakshy OffRL 8 76 0 28 Aug 2020
Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster Andreas Klos Marius Rosenbaum W. Schiffmann 10 2 0 26 Jun 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods Luigi Acerbi 22 40 0 15 Jun 2020
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms Giorgio Visani Enrico Bagli F. Chesani FAtt 27 60 0 10 Jun 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 11 235 0 09 Jun 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 33 95 0 20 Feb 2020
Computing the racing line using Bayesian optimization Achin Jain M. Morari 29 33 0 12 Feb 2020
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation Ryan-Rhys Griffiths Alexander A. Aldrick Miguel García-Ortegón Vidhi R. Lalchand A. Lee 31 35 0 17 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 46 240 0 25 May 2018
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 55 34 0 06 Feb 2018