activity
20182020
most citedAveraging Atmospheric Gas Concentration Data using Wasserstein Barycenters

5 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

math.NA2020

Convergence of Constrained Anderson Acceleration

Mathieu Barré, Adrien Taylor, Alexandre d'Aspremont

We prove non asymptotic linear convergence rates for the constrained Anderson acceleration extrapolation scheme. These guarantees come from new upper bounds on the constrained Cheb…

cs.LG2020★ 5 cited

Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters

Mathieu Barré, Clément Giron, Matthieu Mazzolini +1

Hyperspectral satellite images report greenhouse gas concentrations worldwide on a daily basis. While taking simple averages of these images over time produces a rough estimate of…

math.OC2020★ 2 cited

Principled Analyses and Design of First-Order Methods with Inexact Proximal Operators

Mathieu Barré, Adrien Taylor, Francis Bach

Proximal operations are among the most common primitives appearing in both practical and theoretical (or high-level) optimization methods. This basic operation typically consists i…

math.OC2020★ 4 cited

Complexity Guarantees for Polyak Steps with Momentum

Mathieu Barré, Adrien Taylor, Alexandre d'Aspremont

In smooth strongly convex optimization, knowledge of the strong convexity parameter is critical for obtaining simple methods with accelerated rates. In this work, we study a class…

math.OC2019

Polyak Steps for Adaptive Fast Gradient Method

Mathieu Barré, Alexandre d'Aspremont

Accelerated algorithms for minimizing smooth strongly convex functions usually require knowledge of the strong convexity parameter . In the case of an unknown , current adapt…

math.OC2018

An M* Proxy for Sparse Recovery Performance

Mathieu Barré, Alexandre d'Aspremont

This paper provides a new tractable lower bound for the sparse recovery threshold of sensing matrices. This lower bound is used as a proxy to quantify the quality of sensing matric…