The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning

10 July 2019

Papers citing "The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning"

13 / 13 papers shown

Title
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 66 1 0 21 Oct 2024
Multi-objective Differentiable Neural Architecture Search R. Sukthanker Arber Zela B. Staffler Samuel Dooley Josif Grabocka Frank Hutter 47 1 0 28 Feb 2024
ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks Stefania Bellavia Francesco Della Santa Alessandra Papini 41 0 0 26 Dec 2023
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow Yinuo Ren Tesi Xiao Tanmay Gangwani A. Rangi Holakou Rahmanian Lexing Ying Subhajit Sanyal 30 2 0 22 Nov 2023
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms Peiyao Xiao Hao Ban Kaiyi Ji 32 18 0 28 May 2023
PINN Training using Biobjective Optimization: The Trade-off between Data Loss and Residual Loss Fabian Heldmann Sarah Treibert Matthias Ehrhardt K. Klamroth 38 20 0 03 Feb 2023
A Particle-based Sparse Gaussian Process Optimizer Chandrajit L. Bajaj Omatharv Bharat Vaidya Yi Wang 13 0 0 26 Nov 2022
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection Eric Enouen Katja Mathesius Sean Wang Arielle K. Carr Sihong Xie 18 2 0 15 Sep 2022
Convergence rates of the stochastic alternating algorithm for bi-objective optimization Suyun Liu Luis Nunes Vicente 23 3 0 20 Mar 2022
Multi-concept adversarial attacks Vibha Belavadi Yan Zhou Murat Kantarcioglu B. Thuraisingham AAML 33 0 0 19 Oct 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 488 0 31 Dec 2020
Adversarial Training and Provable Robustness: A Tale of Two Objectives Jiameng Fan Wenchao Li AAML 17 20 0 13 Aug 2020
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach Suyun Liu Luis Nunes Vicente FaML 23 68 0 03 Aug 2020