Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow

22 November 2023

Papers citing "Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow"

10 / 10 papers shown

Title
Improving Pareto Front Learning via Multi-Sample Hypernetworks L. P. Hoang Dung D. Le Tuan A. Tran Thang Tran Ngoc 68 25 0 02 Dec 2022
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization Syrine Belakaria Aryan Deshwal Nitthilan Kanappan Jayakodi J. Doppa 55 83 0 12 Apr 2022
Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte Josif Grabocka 61 59 0 24 Mar 2021
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 94 74 0 13 Oct 2020
Learning the Pareto Front with Hypernetworks Aviv Navon Aviv Shamsian Gal Chechik Ethan Fetaya 101 145 0 08 Oct 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 76 349 0 30 Dec 2019
The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning Suyun Liu Luis Nunes Vicente 107 74 0 10 Jul 2019
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 70 275 0 25 Apr 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 65 1,091 0 16 Aug 2016
A Theoretical Analysis of NDCG Type Ranking Measures Yining Wang Liwei Wang Yuanzhi Li Di He Tie-Yan Liu Wei-neng Chen 97 420 0 24 Apr 2013