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Pareto Navigation Gradient Descent: a First-Order Algorithm for
  Optimization in Pareto Set

Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set

17 October 2021
Mao Ye
Qiang Liu
ArXivPDFHTML

Papers citing "Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set"

10 / 10 papers shown
Title
MUNBa: Machine Unlearning via Nash Bargaining
MUNBa: Machine Unlearning via Nash Bargaining
Jing Wu
Mehrtash Harandi
MU
71
3
0
23 Nov 2024
Efficient Pareto Manifold Learning with Low-Rank Structure
Efficient Pareto Manifold Learning with Low-Rank Structure
Weiyu Chen
James T. Kwok
30
6
0
30 Jul 2024
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
Yinghua Yao
Yuangang Pan
Jing Li
Ivor Tsang
Xin Yao
57
6
0
05 Jul 2024
Multi-objective Differentiable Neural Architecture Search
Multi-objective Differentiable Neural Architecture Search
R. Sukthanker
Arber Zela
B. Staffler
Samuel Dooley
Josif Grabocka
Frank Hutter
40
1
0
28 Feb 2024
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto
  Objectives based on Decomposition
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition
Xiao-Yan Zhang
Xi Lin
Yichi Zhang
Yifan Chen
Qingfu Zhang
22
1
0
14 Feb 2024
Revisiting Scalarization in Multi-Task Learning: A Theoretical
  Perspective
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective
Yuzheng Hu
Ruicheng Xian
Qilong Wu
Qiuling Fan
Lang Yin
Han Zhao
27
39
0
27 Aug 2023
Optimization on Pareto sets: On a theory of multi-objective optimization
Optimization on Pareto sets: On a theory of multi-objective optimization
Abhishek Roy
Geelon So
Yining Ma
32
7
0
04 Aug 2023
Future Gradient Descent for Adapting the Temporal Shifting Data
  Distribution in Online Recommendation Systems
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems
Mao Ye
Ruichen Jiang
Haoxiang Wang
Dhruv Choudhary
Xiaocong Du
Bhargav Bhushanam
Aryan Mokhtari
A. Kejariwal
Qiang Liu
TTA
OOD
AI4TS
37
8
0
02 Sep 2022
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for
  Out-of-Distribution Robustness
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
Sang Michael Xie
Ananya Kumar
Robbie Jones
Fereshte Khani
Tengyu Ma
Percy Liang
OOD
166
62
0
08 Dec 2020
Controllable Pareto Multi-Task Learning
Controllable Pareto Multi-Task Learning
Xi Lin
Zhiyuan Yang
Qingfu Zhang
Sam Kwong
MoE
68
73
0
13 Oct 2020
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