Mining Data Provenance to Detect Advanced Persistent Threats. - Mathieu Barré; Ashish Gehani; Vinod Yegneswaran (TaPP, 2019)

Complexity Guarantees for Polyak Steps with Momentum. - Mathieu Barré; Adrien B. Taylor; Alexandre d'Aspremont (COLT, 2020)

Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters. - Mathieu Barré; Clément Giron; Matthieu Mazzolini; Alexandre d'Aspremont (CoRR, 2020)

Convergence of Constrained Anderson Acceleration. - Mathieu Barré; Adrien B. Taylor; Alexandre d'Aspremont (CoRR, 2020)

Convergence of a Constrained Vector Extrapolation Scheme. - Mathieu Barré; Adrien B. Taylor; Alexandre d'Aspremont (SIAM J. Math. Data Sci., 2022)

A note on approximate accelerated forward-backward methods with absolute and relative errors, and possibly strongly convex objectives. - Mathieu Barré; Adrien B. Taylor; Francis R. Bach (Open J. Math. Optim., 2022)

Principled analyses and design of first-order methods with inexact proximal operators. - Mathieu Barré; Adrien B. Taylor; Francis R. Bach (Math. Program., 2023)

Mathematical framework for biological tissue perfusion modeling and simulation. (Cadre mathématique pour la modélisation et la simulation de tissus biologiques perfusés). - Mathieu Barré (2023)