Portier, François

13 publications

NeurIPS 2025 Concentration and Excess Risk Bounds for Imbalanced Classification with Synthetic Oversampling Touqeer Ahmad, Mohammadreza Mousavi Kalan, François Portier, Gilles Stupfler

JMLR 2024 Nearest Neighbor Sampling for Covariate Shift Adaptation François Portier, Lionel Truquet, Ikko Yamane

AISTATS 2024 Sharp Error Bounds for Imbalanced Classification: How Many Examples in the Minority Class? Anass Aghbalou, Anne Sabourin, François Portier

ICML 2024 Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates Rémi Leluc, Aymeric Dieuleveut, François Portier, Johan Segers, Aigerim Zhuman

TMLR 2023 Asymptotic Analysis of Conditioned Stochastic Gradient Descent Rémi Leluc, François Portier

AISTATS 2023 On the Bias of K-Fold Cross Validation with Stable Learners Anass Aghbalou, Anne Sabourin, François Portier

AISTATS 2022 Adaptive Importance Sampling Meets Mirror Descent : A Bias-Variance Tradeoff Anna Korba, François Portier

NeurIPS 2022 A Quadrature Rule Combining Control Variates and Adaptive Importance Sampling Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman

JMLR 2022 Empirical Risk Minimization Under Random Censorship Guillaume Ausset, Stephan Clémençon, François Portier

JMLR 2022 SGD with Coordinate Sampling: Theory and Practice Rémi Leluc, François Portier

AISTATS 2021 Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications Guillaume Ausset, Stephan Clémencon, François Portier

NeurIPS 2018 Asymptotic Optimality of Adaptive Importance Sampling François Portier, Bernard Delyon

AISTATS 2018 Beating Monte Carlo Integration: A Nonasymptotic Study of Kernel Smoothing Methods Stéphan Clémençon, François Portier