Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes

21 March 2022

Zhiyuan Jerry Lin

Papers citing "Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes"

23 / 23 papers shown

Title
Collaborative Bayesian Optimization via Wasserstein Barycenters Donglin Zhan H. M. Zhang Rhonda Righter Zeyu Zheng James Anderson 29 0 0 15 Apr 2025
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
Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles Lukas Theiner Sebastian Hirt Alexander Steinke Rolf Findeisen 44 0 0 19 Mar 2025
PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang Daolang Huang Samuel Kaski Julien Martinelli 34 0 0 02 Mar 2025
Bayesian Optimization with Preference Exploration by Monotonic Neural Network Ensemble Hanyang Wang Juergen Branke Matthias Poloczek 104 0 0 30 Jan 2025
Vector Optimization with Gaussian Process Bandits İlter Onat Korkmaz Yaşar Cahit Yıldırım Çağın Ararat Cem Tekin 76 0 0 03 Dec 2024
Preferential Multi-Objective Bayesian Optimization Raul Astudillo Kejun Li Maegan Tucker Chu Xin Cheng Aaron D. Ames Yisong Yue 38 2 0 20 Jun 2024
Poisson Process for Bayesian Optimization Xiaoxing Wang Jiaxing Li Chao Xue Wei Liu Weifeng Liu Xiaokang Yang Junchi Yan Dacheng Tao 25 1 0 05 Feb 2024
Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement Nikolaus Feith Elmar Rueckert 17 1 0 23 Jan 2024
Data-Efficient Interactive Multi-Objective Optimization Using ParEGO Arash Heidari Sebastian Rojas Gonzalez T. Dhaene Ivo Couckuyt 18 1 0 12 Jan 2024
Multi-Objective Bayesian Optimization with Active Preference Learning Ryota Ozaki Kazuki Ishikawa Youhei Kanzaki Shinya Suzuki Shion Takeno Ichiro Takeuchi Masayuki Karasuyama 25 7 0 22 Nov 2023
Joint Composite Latent Space Bayesian Optimization Natalie Maus Zhiyuan Jerry Lin Maximilian Balandat E. Bakshy BDL 33 2 0 03 Nov 2023
Looping in the Human Collaborative and Explainable Bayesian Optimization Masaki Adachi Brady Planden David A. Howey Michael A. Osborne Sebastian Orbell Natalia Ares Krikamol Maundet Siu Lun Chau 26 14 0 26 Oct 2023
Optimizing Algorithms From Pairwise User Preferences L. Keselman Katherine Shih M. Hebert Aaron Steinfeld 18 5 0 08 Aug 2023
Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences Michael Shvartsman Benjamin Letham Stephen L. Keeley 33 0 0 09 Jun 2023
Multi-objective optimisation via the R2 utilities Ben Tu N. Kantas Robert M. Lee B. Shafei 140 3 0 19 May 2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization Raul Astudillo Zhiyuan Jerry Lin E. Bakshy P. Frazier 23 14 0 28 Mar 2023
Preference-Aware Constrained Multi-Objective Bayesian Optimization Alaleh Ahmadianshalchi Syrine Belakaria J. Doppa 28 7 0 23 Mar 2023
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles Zhiwei Tang Dmitry Rybin Tsung-Hui Chang ALM DiffM 36 26 0 07 Mar 2023
The Impact of Expertise in the Loop for Exploring Machine Rationality Changkun Ou Sven Mayer A. Butz 17 5 0 11 Feb 2023
GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths Leo Klarner Henry B. Moss Aditya Ravuri Sang T. Truong ... A. Lee Bingqing Cheng Alán Aspuru-Guzik P. Schwaller Jian Tang GP 24 40 0 06 Dec 2022
Multi-Objective GFlowNets Moksh Jain Sharath Chandra Raparthy Alex Hernandez-Garcia Jarrid Rector-Brooks Yoshua Bengio Santiago Miret Emmanuel Bengio 27 87 0 23 Oct 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 56 0 15 Jun 2022