Stephane Gaiffas

10 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-8072-8194

Publications

• Robust Methods for High-Dimensional Linear Learning — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• An Improper Estimator with Optimal Excess Risk in Misspecified Density Estimation and Logistic Regression — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• AMF: Aggregated Mondrian forests for online learning — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2021
• Minimax optimal rates for Mondrian trees and forests — The Annals of Statistics 2020 (name-matched, not ORCID-linked)
• Sparse and low-rank multivariate Hawkes processes — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• On the optimality of the Hedge algorithm in the stochastic regime — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
• Binarsity: a penalization for one-hot encoded features in linear supervised learning — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
• tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• Uncovering Causality from Multivariate Hawkes Integrated Cumulants — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• Link Prediction in Graphs with Autoregressive Features — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)