Aymeric’s full list of publications is available on his scholar.

2023

  • Compression with Exact Error Distribution for Federated Learning Federated Learning
    M. Hegazy, R. Leluc, C.T. Li, A. Dieuleveut
    preprint, 2023
    arXiv

  • Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning Federated Learning Stochastic Approximation
    C. Philippenko, A. Dieuleveut
    preprint, 2023
    arXiv · code

  • Naive imputation implicitly regularizes high-dimensional linear models Missing Values
    A. Ayme, C. Boyer, A. Dieuleveut, E. Scornet
    ICML, 2023
    proceedings · arXiv

  • Conformal Prediction with Missing Values Missing Values Uncertainty Quantification
    M. Zaffran, A. Dieuleveut, J. Josse, Y. Romano
    ICML, 2023
    proceedings · arXiv · code · project’s webpage

2022

  • Near optimal rate of consistency for linear models with missing valuesMissing Values
    A. Ayme, C. Boyer, A. Dieuleveut, E. Scornet
    ICML, 2022
    proceedings · arXiv · code

  • Adaptive Conformal Predictions for Time SeriesUncertainty Quantification
    M. Zaffran, O. Féron, Y. Goude, J. Josse, A. Dieuleveut
    ICML, 2022
    proceedings · arXiv · code · project’s webpage