most citedFunction Value Learning: Adaptive Learning Rates Based on the Polyak Stepsize and Function Splitting in ERM

1 citations · 2 across the 3 of their papers we have counts for

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3 papers

stat.ML2024★ 1 cited

Multivariate Online Linear Regression for Hierarchical Forecasting

Massil Hihat, Guillaume Garrigos, Adeline Fermanian +1

In this paper, we consider a deterministic online linear regression model where we allow the responses to be multivariate. To address this problem, we introduce MultiVAW, a method…

cs.LG2023★ 1 cited

Function Value Learning: Adaptive Learning Rates Based on the Polyak Stepsize and Function Splitting in ERM

Guillaume Garrigos, Robert M. Gower, Fabian Schaipp

Here we develop variants of SGD (stochastic gradient descent) with an adaptive step size that make use of the sampled loss values. In particular, we focus on solving a finite sum-o…

math.OC2023

Square distance functions are Polyak-Łojasiewicz and vice-versa

Guillaume Garrigos

This short note gathers known results to state that the squared distance function to a (nonconvex) closed set of an Euclidean space is Polyak-Łojasiewicz. As a fuzzy reciprocate, w…