Three-Way Trade-Off in Multi-Objective Learning: Optimization,
Generalization and Conflict-Avoidance

Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance

31 May 2023

Tianyi Chen

Papers citing "Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance"

19 / 19 papers shown

Title
Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimization Sangwoo Park Stefan Vlaski Lajos Hanzo 31 0 0 16 Mar 2025
Balanced Rate-Distortion Optimization in Learned Image Compression Yichi Zhang Z. Duan Yuning Huang F. Zhu 39 1 0 27 Feb 2025
$Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization$ Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$ -Constrained Optimization Xiaohua Feng Chao-Jun Chen Yuyuan Li L. Zhang Longfei Li Jun Zhou Xiaolin Zheng MU 73 0 0 20 Feb 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
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
Exploring Accuracy-Fairness Trade-off in Large Language Models Qingquan Zhang Qiqi Duan Bo Yuan Yuhui Shi Jiaheng Liu 74 0 0 21 Nov 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 66 1 0 21 Oct 2024
How to Find the Exact Pareto Front for Multi-Objective MDPs? Yining Li Peizhong Ju Ness B. Shroff 139 0 0 21 Oct 2024
Jacobian Descent for Multi-Objective Optimization Pierre Quinton Valérian Rey 36 3 0 23 Jun 2024
Towards Exact Gradient-based Training on Analog In-memory Computing Zhaoxian Wu Tayfun Gokmen Malte J. Rasch Tianyi Chen 26 2 0 18 Jun 2024
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization Xi Lin Yilu Liu Xiao-Yan Zhang Fei Liu Zhenkun Wang Qingfu Zhang 43 5 0 30 May 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
Fair Resource Allocation in Multi-Task Learning Hao Ban Kaiyi Ji 29 10 0 23 Feb 2024
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective Yuzheng Hu Ruicheng Xian Qilong Wu Qiuling Fan Lang Yin Han Zhao 32 40 0 27 Aug 2023
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms Peiyao Xiao Hao Ban Kaiyi Ji 29 18 0 28 May 2023
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach H. Fernando Han Shen Miao Liu Subhajit Chaudhury K. Murugesan Tianyi Chen 33 8 0 23 Oct 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? Derrick Xin Behrooz Ghorbani Ankush Garg Orhan Firat Justin Gilmer MoMe 73 63 0 23 Sep 2022
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks Yunwen Lei Rong Jin Yiming Ying MLT 37 18 0 19 Sep 2022
Multi-objective Optimization by Learning Space Partitions Yiyang Zhao Linnan Wang Kevin Kaichuang Yang Tianjun Zhang Tian Guo Yuandong Tian 37 17 0 07 Oct 2021