Mathieu Dagréou

Mathieu Dagréou

Ph.D. student in Machine Learning

Inria Saclay - Mind team

Biography

I am a Ph.D. student at Inria in the Mind team working under the supervision of Pierre Ablin, Thomas Moreau and Samuel Vaiter. I am currently working on bilevel optimization for Machine Learning.

Interests
  • Optimization
  • Machine Learning
Education
  • MSc in Mathematics, Vision and Machine Learning (MVA), 2021

    École Normale Supérieure Paris-Saclay

  • Engineering Diploma, 2020

    École Centrale de Nantes

Papers

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(2022). A framework for bilevel optimization that enables stochastic and global variance reduction algorithms. In NeurIPS (Selected for an oral).

PDF Cite Code Poster Slides arXiv

(2022). Benchopt: Reproducible, efficient and collaborative optimization benchmarks. In Neurips.

PDF Cite arXiv Benchopt

Talks and events

  • 2022-12-01: Poster session at NeurIPS (New-Orleans): A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
  • 2022-10-12: Poster session at GDR MOA days (Nice): A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
  • 2022-09-07: Poster session at GRETSI (Nancy): A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
  • 2022-06-21: Poster session at Curves and Surfaces (Arcachon): A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
  • 2022-04-05: Talk at the Parietal Meeting: A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
  • 2022-03-15: Talk at Proba-Stat seminar (LJAD Nice): A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
  • 2022-03-03: Talk at the Miles team seminar (LAMSADE): A framework for bilevel optimization that enables stochastic and global variance reduction algorithms