Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization

12 April 2022

Syrine Belakaria

Aryan Deshwal

Nitthilan Kanappan Jayakodi

J. Doppa

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Papers citing "Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization"

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Title
Preferential Multi-Objective Bayesian Optimization for Drug Discovery Tai Dang Long-Hung Pham Sang T. Truong Ari Glenn Wendy Nguyen Edward A. Pham Jeffrey S. Glenn Sanmi Koyejo Thang Luong 69 0 0 21 Mar 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 85 0 0 31 Jan 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Weiyu Chen Xiaoyuan Zhang Baijiong Lin Xi Lin Han Zhao Qingfu Zhang James T. Kwok 75 3 0 19 Jan 2025
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks Minh-Duc Nguyen Phuong Mai Dinh Quang-Huy Nguyen L. P. Hoang Dung D. Le 51 1 0 23 Dec 2024
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization Mingjing Xu Peizhong Ju Jia Liu Haibo Yang 73 2 0 14 Dec 2024
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 170 0 0 06 Nov 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 66 1 0 21 Oct 2024
Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration David Molina Concha Jiping Li Haoran Yin Kyeonghyeon Park Hyun-Rok Lee Taesik Lee Dhruv Sirohi Chi-Guhn Lee 31 1 0 21 Aug 2024
Algorithmic Contract Design with Reinforcement Learning Agents David Molina Concha Kyeonghyeon Park Hyun-Rok Lee Taesik Lee Chi-Guhn Lee 17 1 0 19 Aug 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization Alaleh Ahmadianshalchi Syrine Belakaria J. Doppa 41 2 0 13 Jun 2024
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models Bingdong Li Zixiang Di Yongfan Lu Hong Qian Feng Wang Peng Yang Ke Tang Aimin Zhou DiffM 26 1 0 14 May 2024
KATO: Knowledge Alignment and Transfer for Transistor Sizing of Different Design and Technology Wei W. Xing Weijian Fan Zhuohua Liu Yuan Yao Yuanqi Hu 31 2 0 19 Apr 2024
Pre-Evolved Model for Complex Multi-objective Optimization Problems Haokai Hong Min Jiang 25 3 0 11 Dec 2023
Risk-Controlling Model Selection via Guided Bayesian Optimization Bracha Laufer-Goldshtein Adam Fisch Regina Barzilay Tommi Jaakkola TPM 21 4 0 04 Dec 2023
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization Quang-Huy Nguyen L. P. Hoang Hoang V. Viet Dung D. Le 19 0 0 26 Nov 2023
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow Yinuo Ren Tesi Xiao Tanmay Gangwani A. Rangi Holakou Rahmanian Lexing Ying Subhajit Sanyal 30 2 0 22 Nov 2023
Federated Multi-Objective Learning Haibo Yang Zhuqing Liu Jia-Wei Liu Chaosheng Dong Michinari Momma FedML 31 7 0 15 Oct 2023
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization Navid Ansari Hans-Peter Seidel Vahid Babaei 19 2 0 01 Jun 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization Huaijun Jiang Yu Shen Yang Li Beicheng Xu Sixian Du Wentao Zhang Ce Zhang Bin Cui 38 5 0 26 Apr 2023
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services Hui Dou Shanshan Zhu Yiwen Zhang Pengfei Chen Zibin Zheng 9 0 0 20 Apr 2023
Preference-Aware Constrained Multi-Objective Bayesian Optimization Alaleh Ahmadianshalchi Syrine Belakaria J. Doppa 36 7 0 23 Mar 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
On the role of Model Uncertainties in Bayesian Optimization Jonathan Foldager Mikkel Jordahn Lars Kai Hansen Michael Riis Andersen 21 4 0 14 Jan 2023
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 39 54 0 16 Oct 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 200 0 07 Jun 2022
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization Antonio Candelieri Andrea Ponti Francesco Archetti 33 16 0 18 May 2022
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces Aryan Deshwal J. Doppa BDL 35 42 0 01 Nov 2021
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization Syrine Belakaria Aryan Deshwal J. Doppa 26 16 0 13 Oct 2021
Bayesian Optimization over Hybrid Spaces Aryan Deshwal Syrine Belakaria J. Doppa 28 33 0 08 Jun 2021
OpenBox: A Generalized Black-box Optimization Service Yang Li Yu Shen Wentao Zhang Yuan-Wei Chen Huaijun Jiang ... Jinyang Gao Wentao Wu Zhi-Xin Yang Ce Zhang Bin Cui 11 76 0 01 Jun 2021
AutoOED: Automated Optimal Experiment Design Platform Yunsheng Tian Mina Konakovic-Lukovic Timothy Erps Michael Foshey Wojciech Matusik 11 4 0 13 Apr 2021
SETGAN: Scale and Energy Trade-off GANs for Image Applications on Mobile Platforms Nitthilan Kanappan Jayakodi J. Doppa P. Pande GAN 30 4 0 23 Mar 2021
Mercer Features for Efficient Combinatorial Bayesian Optimization Aryan Deshwal Syrine Belakaria J. Doppa 21 32 0 14 Dec 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework Aryan Deshwal Syrine Belakaria J. Doppa Alan Fern 22 22 0 14 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 51 1,879 0 12 Nov 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach Syrine Belakaria Aryan Deshwal J. Doppa 6 41 0 02 Nov 2020
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations Syrine Belakaria Aryan Deshwal J. Doppa 22 7 0 12 Sep 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 30 131 0 01 Sep 2020
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models Aryan Deshwal Syrine Belakaria J. Doppa 14 13 0 18 Aug 2020
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 16 6 0 16 Aug 2020
Neural Architecture Generator Optimization Binxin Ru P. Esperança Fabio Maria Carlucci 20 40 0 03 Apr 2020