Gaîffas, Stéphane

11 publications

TMLR 2024 Robust Stochastic Optimization via Gradient Quantile Clipping Ibrahim Merad, Stéphane Gaïffas

NeurIPS 2023 Online Inventory Problems: Beyond the I.i.d. Setting with Online Convex Optimization Massil Hihat, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy

JMLR 2023 Robust Methods for High-Dimensional Linear Learning Ibrahim Merad, Stéphane Gaïffas

JMLR 2022 An Improper Estimator with Optimal Excess Risk in Misspecified Density Estimation and Logistic Regression Jaouad Mourtada, Stéphane Gaïffas

JMLR 2020 Sparse and Low-Rank Multivariate Hawkes Processes Emmanuel Bacry, Martin Bompaire, Stéphane Gaïffas, Jean-Francois Muzy

JMLR 2019 Binarsity: A Penalization for One-Hot Encoded Features in Linear Supervised Learning Mokhtar Z. Alaya, Simon Bussy, Stéphane Gaïffas, Agathe Guilloux

JMLR 2019 On the Optimality of the Hedge Algorithm in the Stochastic Regime Jaouad Mourtada, Stéphane Gaïffas

NeurIPS 2017 Universal Consistency and Minimax Rates for Online Mondrian Forests Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet

JMLR 2014 Link Prediction in Graphs with Autoregressive Features Emile Richard, Stéphane Gaïffas, Nicolas Vayatis

NeurIPS 2012 Link Prediction in Graphs with Autoregressive Features Emile Richard, Stephane Gaiffas, Nicolas Vayatis

JMLR 2011 Hyper-Sparse Optimal Aggregation Stéphane Gaîffas, Guillaume Lecué