Aymeric Dieuleveut
4 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0009-0005-1848-1724
Publications
- Compressed and distributed least-squares regression: convergence rates with applications to federated learning — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
- Bridging the gap between constant step size stochastic gradient descent and Markov chains — The Annals of Statistics 2020
- Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
- Nonparametric stochastic approximation with large step-sizes — The Annals of Statistics 2016 (name-matched, not ORCID-linked)