Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization

8 June 2020

Papers citing "Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization"

39 / 39 papers shown

Title
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization Yifan Niu Ziqi Gao Tingyang Xu Yang Liu Yatao Bian Yu Rong Junzhou Huang Jia Li 73 0 0 03 Mar 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 84 4 0 19 Jan 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 50 2 0 12 Jan 2025
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 224 0 0 06 Nov 2024
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front Ruohong Liu Yuxin Pan Linjie Xu Lei Song Jiang Bian Pengcheng You Yize Chen 48 1 0 03 Oct 2024
Swine Diet Design using Multi-objective Regionalized Bayesian Optimization Gabriel D. Uribe-Guerra Danny A. Múnera-Ramírez Julián D. Arias-Londoño 36 0 0 19 Sep 2024
The Vizier Gaussian Process Bandit Algorithm Xingyou Song Qiuyi Zhang Chansoo Lee Emily Fertig Tzu-Kuo Huang ... Greg Kochanski Setareh Ariafar Srinivas Vasudevan Sagi Perel Daniel Golovin 34 7 0 21 Aug 2024
Scalarisation-based risk concepts for robust multi-objective optimisation Ben Tu N. Kantas Robert M. Lee B. Shafei 40 1 0 16 May 2024
Random Pareto front surfaces Ben Tu N. Kantas Robert M. Lee B. Shafei 33 2 0 02 May 2024
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Peide Huang Tingnan Zhang Wenhao Yu Ding Zhao OffRL 76 6 0 23 Dec 2023
Pessimistic Off-Policy Multi-Objective Optimization S. Alizadeh Aniruddha Bhargava Karthick Gopalswamy Lalit P. Jain B. Kveton Ge Liu OffRL 43 0 0 28 Oct 2023
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling Ashwin Renganathan 38 3 0 24 Oct 2023
Optimal Scalarizations for Sublinear Hypervolume Regret Qiuying Zhang 21 1 0 06 Jul 2023
Multi-Objective Population Based Training A. Dushatskiy A. Chebykin Tanja Alderliesten Peter A. N. Bosman 35 2 0 02 Jun 2023
Multi-objective optimisation via the R2 utilities Ben Tu N. Kantas Robert M. Lee B. Shafei 218 3 0 19 May 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning Yan Kang Hanlin Gu Xingxing Tang Yuanqin He Yuzhu Zhang Jinnan He Yuxing Han Lixin Fan Kai Chen Qiang Yang FedML 65 18 0 29 Apr 2023
SmartChoices: Augmenting Software with Learned Implementations Daniel Golovin Gábor Bartók Eric Chen Emily A. Donahue Tzu-Kuo Huang Efi Kokiopoulou Ruoyan Qin Nikhil Sarda Justin Sybrandt Vincent Tjeng OffRL 15 1 0 12 Apr 2023
Probably Approximately Correct Federated Learning Xiaojin Zhang Anbu Huang Lixin Fan Kai Chen Qiang Yang FedML 35 5 0 10 Apr 2023
Linearization Algorithms for Fully Composite Optimization Maria-Luiza Vladarean N. Doikov Martin Jaggi Nicolas Flammarion 28 3 0 24 Feb 2023
Multi-Objective GFlowNets Moksh Jain Sharath Chandra Raparthy Alex Hernandez-Garcia Jarrid Rector-Brooks Yoshua Bengio Santiago Miret Emmanuel Bengio 35 87 0 23 Oct 2022
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach H. Fernando Han Shen Miao Liu Subhajit Chaudhury K. Murugesan Tianyi Chen 41 8 0 23 Oct 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization Sam Daulton Xingchen Wan David Eriksson Maximilian Balandat Michael A. Osborne E. Bakshy 27 36 0 18 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 44 54 0 16 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 29 38 0 06 Oct 2022
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization Yongqiang Chen Kaiwen Zhou Yatao Bian Binghui Xie Bing Wu ... Kaili Ma Han Yang P. Zhao Bo Han James Cheng OOD OODD 11 34 0 15 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
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization Hao Wang Kaifeng Yang M. Affenzeller 23 2 0 11 May 2022
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization Xi Lin Zhiyuan Yang Qingfu Zhang 28 63 0 29 Mar 2022
IMO $^3$ : Interactive Multi-Objective Off-Policy Optimization Nan Wang Hongning Wang Maryam Karimzadehgan B. Kveton Craig Boutilier OffRL 19 3 0 24 Jan 2022
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 27 106 0 22 Sep 2021
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 32 24 0 23 Jun 2021
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning A. Abdolmaleki Sandy H. Huang Giulia Vezzani Bobak Shahriari Jost Tobias Springenberg ... András Gyorgy Csaba Szepesvári R. Hadsell N. Heess Martin Riedmiller OffRL 27 5 0 15 Jun 2021
A multi-objective perspective on jointly tuning hardware and hyperparameters David Salinas Valerio Perrone Olivier Cruchant Cédric Archambeau 32 13 0 10 Jun 2021
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement Sam Daulton Maximilian Balandat E. Bakshy 30 152 0 17 May 2021
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization T. Deist Monika Grewal F. Dankers Tanja Alderliesten Peter A. N. Bosman 22 17 0 08 Feb 2021
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 77 73 0 13 Oct 2020
The Fairness-Accuracy Pareto Front Susan Wei Marc Niethammer FaML 51 33 0 25 Aug 2020
srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications Anh Tran M. Eldred S. McCann Yan Wang 19 8 0 07 Jul 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 478 11,715 0 09 Mar 2017