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"

10 / 10 papers shown

Title
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 206 1 0 21 Oct 2024
Multi-objective Differentiable Neural Architecture Search R. Sukthanker Arber Zela B. Staffler Samuel Dooley Josif Grabocka Frank Hutter 88 1 0 28 Feb 2024
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 279 494 0 31 Dec 2020
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach Suyun Liu Luis Nunes Vicente FaML 41 69 0 03 Aug 2020
Equal Opportunity in Online Classification with Partial Feedback Yahav Bechavod Katrina Ligett Aaron Roth Bo Waggoner Zhiwei Steven Wu FaML 39 60 0 06 Feb 2019
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 49 994 0 27 Mar 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 202 4,301 0 07 Oct 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 221 3,205 0 15 Jun 2016
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 131 1,823 0 01 Jul 2014
The Convex Geometry of Linear Inverse Problems V. Chandrasekaran Benjamin Recht P. Parrilo A. Willsky 191 1,338 0 03 Dec 2010