Pareto Set Learning for Expensive Multi-Objective Optimization

16 October 2022

Papers citing "Pareto Set Learning for Expensive Multi-Objective Optimization"

36 / 36 papers shown

Title
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model Baijiong Lin Weisen Jiang Yuancheng Xu Hao Chen Ying Chen 28 0 0 06 May 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 2 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 44 2 0 12 Jan 2025
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning Lisha Chen A. F. M. Saif Yanning Shen Tianyi Chen 73 2 0 02 Dec 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 66 1 0 21 Oct 2024
MotionRL: Align Text-to-Motion Generation to Human Preferences with Multi-Reward Reinforcement Learning Xiaoyang Liu Yunyao Mao Wengang Zhou Houqiang Li 40 2 0 09 Oct 2024
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch Xiaoyuan Zhang Liang Zhao Yingying Yu Xi Lin Yifan Chen Han Zhao Qingfu Zhang AI4CE 40 3 0 04 Sep 2024
Preference-Optimized Pareto Set Learning for Blackbox Optimization Zhang Haishan Diptesh Das Koji Tsuda 41 1 0 19 Aug 2024
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization Rongguang Ye Longcan Chen Wei-Bin Kou Jinyuan Zhang H. Ishibuchi 37 0 0 11 Aug 2024
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization Deokjae Lee Hyun Oh Song Kyunghyun Cho OffRL 45 0 0 21 Jun 2024
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion Anke Tang Li Shen Yong Luo Shiwei Liu Han Hu Bo Du MoMe 31 6 0 14 Jun 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization Alaleh Ahmadianshalchi Syrine Belakaria J. Doppa 41 2 0 13 Jun 2024
Offline Multi-Objective Optimization Ke Xue Rong-Xi Tan Xiaobin Huang Chao Qian OffRL 51 5 0 06 Jun 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 36 2 0 18 May 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
Evolutionary Preference Sampling for Pareto Set Learning Rongguang Ye Longcan Chen Jinyuan Zhang H. Ishibuchi 33 3 0 12 Apr 2024
Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems Chikai Shang Rongguang Ye Jiaqi Jiang Fangqing Gu 32 1 0 01 Apr 2024
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables Ping Guo Qingfu Zhang Xi Lin 29 3 0 30 Mar 2024
MORBDD: Multiobjective Restricted Binary Decision Diagrams by Learning to Sparsify R. Patel Elias Boutros Khalil David Bergman 34 0 0 04 Mar 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization Xi Lin Xiao-Yan Zhang Zhiyuan Yang Fei Liu Zhenkun Wang Qingfu Zhang 35 16 0 29 Feb 2024
PMGDA: A Preference-based Multiple Gradient Descent Algorithm Xiao-Yan Zhang Xi Lin Qingfu Zhang 29 7 0 14 Feb 2024
Panacea: Pareto Alignment via Preference Adaptation for LLMs Yifan Zhong Chengdong Ma Xiaoyuan Zhang Ziran Yang Haojun Chen Qingfu Zhang Siyuan Qi Yaodong Yang 62 31 0 03 Feb 2024
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation Seung Hyun Lee Yinxiao Li Junjie Ke Innfarn Yoo Han Zhang ... Junfeng He Gang Li Sangpil Kim Irfan Essa Feng Yang EGVM 38 18 0 11 Jan 2024
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning Hanlin Gu Xinyuan Zhao Gongxi Zhu Yuxing Han Yan Kang Lixin Fan Qiang Yang FedML 21 1 0 27 Dec 2023
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization Jiao Liu Abhishek Gupta Yew-Soon Ong 34 0 0 22 Dec 2023
Dealing with Structure Constraints in Evolutionary Pareto Set Learning Xi Lin Xiao-Yan Zhang Zhiyuan Yang Qingfu Zhang 29 0 0 31 Oct 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement Jinbiao Chen Zizhen Zhang Zhiguang Cao Yaoxin Wu Yining Ma Te Ye Jiahai Wang 23 9 0 22 Oct 2023
Reward Dropout Improves Control: Bi-objective Perspective on Reinforced LM Changhun Lee Chiehyeon Lim 34 0 0 06 Oct 2023
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities Yanjie Song Yutong Wu Yangyang Guo Ran Yan Suganthan Yue Zhang Witold Pedrycz Swagatam Das R. Mallipeddi Solomon Ajani 50 38 0 25 Aug 2023
Continuation Path Learning for Homotopy Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 20 8 0 24 Jul 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards Alexandre Ramé Guillaume Couairon Mustafa Shukor Corentin Dancette Jean-Baptiste Gaya Laure Soulier Matthieu Cord MoMe 35 136 0 07 Jun 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
Rank-Based Learning and Local Model Based Evolutionary Algorithm for High-Dimensional Expensive Multi-Objective Problems Guodong Chen J. Jiao Xiaoming Xue Zhongzheng Wang 26 0 0 19 Apr 2023
Multi-objective Optimization by Learning Space Partitions Yiyang Zhao Linnan Wang Kevin Kaichuang Yang Tianjun Zhang Tian Guo Yuandong Tian 40 17 0 07 Oct 2021
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 77 73 0 13 Oct 2020
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017