34 citations · 34 across the 1 of their papers we have counts for
3 papers
cs.LG2021★ 34 cited
Personalized Federated Learning using Hypernetworks
Aviv Shamsian, Aviv Navon, Ethan Fetaya +1
Personalized federated learning is tasked with training machine learning models for multiple clients, each with its own data distribution. The goal is to train personalized models…
cs.LG2020
Learning the Pareto Front with Hypernetworks
Aviv Navon, Aviv Shamsian, Gal Chechik +1
Multi-objective optimization (MOO) problems are prevalent in machine learning. These problems have a set of optimal solutions, called the Pareto front, where each point on the fron…
stat.ME2018
Capturing Between-Tasks Covariance and Similarities Using Multivariate Linear Mixed Models
Aviv Navon, Saharon Rosset
We consider the problem of predicting several response variables using the same set of explanatory variables. This setting naturally induces a group structure over the coefficient…