Bayesian optimization for materials design

3 June 2015

Papers citing "Bayesian optimization for materials design"

31 / 31 papers shown

Title
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection Tanmay Chakraborty Christian Wirth Christin Seifert 28 0 0 01 Apr 2025
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal Pier Giuseppe Sessa Mojmír Mutný Andreas Krause 36 0 0 27 Sep 2024
An adaptive approach to Bayesian Optimization with switching costs Stefan Pricopie Richard Allmendinger Manuel López-Ibánez Clyde Fare Matt Benatan Joshua D. Knowles 18 0 0 14 May 2024
Evolve Cost-aware Acquisition Functions Using Large Language Models Yiming Yao Fei Liu Ji Cheng Qingfu Zhang 51 7 0 25 Apr 2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration Julian Rodemann Federico Croppi Philipp Arens Yusuf Sale J. Herbinger B. Bischl Eyke Hüllermeier Thomas Augustin Conor J. Walsh Giuseppe Casalicchio 46 7 0 07 Mar 2024
Explainable Bayesian Optimization Tanmay Chakraborty Christin Seifert Christian Wirth 61 5 0 24 Jan 2024
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization Ahmed Shoyeb Raihan H. Khosravi Srinjoy Das Imtiaz Ahmed 39 3 0 16 Nov 2023
Bayesian Optimisation Against Climate Change: Applications and Benchmarks Sigrid Passano Hellan Christopher G. Lucas Nigel H. Goddard 49 1 0 07 Jun 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 33 75 0 07 May 2023
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 24 36 0 22 Apr 2023
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal Francesco Di Fiore Michela Nardelli L. Mainini 37 22 0 02 Mar 2023
Global Optimization with Parametric Function Approximation Chong Liu Yu-Xiang Wang 36 7 0 16 Nov 2022
Event-Triggered Time-Varying Bayesian Optimization Paul Brunzema Alexander von Rohr Friedrich Solowjow Sebastian Trimpe 21 7 0 23 Aug 2022
Optimization of the Shape of a Hydrokinetic Turbine's Draft Tube and Hub Assembly Using Design-by-Morphing with Bayesian Optimization Haris Moazam Sheikh Tess A. Callan Kealan J. Hennessy P. Marcus AI4CE 16 11 0 23 Jul 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 40 200 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 33 4 0 10 May 2022
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes Zhiyuan Jerry Lin Raul Astudillo P. Frazier E. Bakshy 24 38 0 21 Mar 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Online Calibrated and Conformal Prediction Improves Bayesian Optimization Shachi Deshpande Charles Marx Volodymyr Kuleshov 13 7 0 08 Dec 2021
Optimizing Bayesian acquisition functions in Gaussian Processes Ashish Anil Pawar Ujwal Warbhe GP 11 4 0 09 Nov 2021
Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning Dongil Shin Andrea Cupertino M. H. J. D. Jong P. Steeneken Miguel A. Bessa R. Norte 17 62 0 10 Aug 2021
Self-supervised optimization of random material microstructures in the small-data regime Maximilian Rixner P. Koutsourelakis AI4CE 16 15 0 05 Aug 2021
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains Qiaohao Liang Aldair E. Gongora Zekun Ren A. Tiihonen Zhe Liu ... K. Hippalgaonkar Benji Maruyama Keith A. Brown John W Fisher Iii Tonio Buonassisi 35 118 0 23 May 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 30 289 0 20 Apr 2021
Bayesian Optimization with Missing Inputs P. Luong Dang Nguyen Sunil R. Gupta Santu Rana Svetha Venkatesh 26 3 0 19 Jun 2020
Incorporating Expert Prior in Bayesian Optimisation via Space Warping Anil Ramachandran Sunil R. Gupta Santu Rana Cheng Li Svetha Venkatesh 12 36 0 27 Mar 2020
ENTMOOT: A Framework for Optimization over Ensemble Tree Models Alexander Thebelt Jan Kronqvist Miten Mistry Robert M. Lee Nathan Sudermann-Merx Ruth Misener 29 54 0 10 Mar 2020
A Tutorial on Bayesian Optimization P. Frazier GP 15 1,737 0 08 Jul 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 46 240 0 25 May 2018
Warm Starting Bayesian Optimization Matthias Poloczek Jialei Wang P. Frazier 15 61 0 11 Aug 2016
Parallel Bayesian Global Optimization of Expensive Functions Jialei Wang Scott C. Clark Eric Liu P. Frazier 18 159 0 16 Feb 2016