François Portier

35 papers A* 3A 5B 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Concentration and excess risk bounds for imbalanced classification with synthetic oversampling. CoRR Touqeer Ahmad, Mohammadreza M. Kalan, François Portier, Gilles Stupfler
2024	J	`jnl`	High-dimensional nonconvex LASSO-type M-estimators. J. Multivar. Anal. Jad Beyhum, François Portier
2024	J	`jnl`	Nearest Neighbor Sampling for Covariate Shift Adaptation. J. Mach. Learn. Res. François Portier, Lionel Truquet, Ikko Yamane
2024	A	`conf`	Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS Anass Aghbalou, Anne Sabourin, François Portier
2024	A*	`conf`	Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates. ICML Rémi Leluc, Aymeric Dieuleveut, François Portier, Johan Segers, Aigerim Zhuman
2024	J	`jnl`	Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates. CoRR Rémi Leluc, Aymeric Dieuleveut, François Portier, Johan Segers, Aigerim Zhuman
2023	J	`jnl`	Asymptotic Analysis of Conditioned Stochastic Gradient Descent. Trans. Mach. Learn. Res. Rémi Leluc, François Portier
2023	J	`jnl`	Conditional independence testing via weighted partial copulas. J. Multivar. Anal. Pascal Bianchi, Kevin Elgui, François Portier
2023	A	`conf`	On the bias of K-fold cross validation with stable learners. AISTATS Anass Aghbalou, Anne Sabourin, François Portier
2023	J	`jnl`	Scalable and hyper-parameter-free non-parametric covariate shift adaptation with conditional sampling. CoRR François Portier, Lionel Truquet, Ikko Yamane
2023	J	`jnl`	Sharp error bounds for imbalanced classification: how many examples in the minority class? CoRR Anass Aghbalou, François Portier, Anne Sabourin
2023	J	`jnl`	Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence. CoRR Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman
2022	A*	`conf`	A Quadrature Rule combining Control Variates and Adaptive Importance Sampling. NeurIPS Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman
2022	J	`jnl`	A Quadrature Rule combining Control Variates and Adaptive Importance Sampling. CoRR Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman
2022	A	`conf`	Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff. AISTATS Anna Korba, François Portier
2022	J	`jnl`	Empirical Risk Minimization under Random Censorship. J. Mach. Learn. Res. Guillaume Ausset, Stéphan Clémençon, François Portier
2022	J	`jnl`	SGD with Coordinate Sampling: Theory and Practice. J. Mach. Learn. Res. Rémi Leluc, François Portier
2021	J	`jnl`	Control variate selection for Monte Carlo integration. Stat. Comput. Rémi Leluc, François Portier, Johan Segers
2021	J	`jnl`	High dimensional regression for regenerative time-series: An application to road traffic modeling. Comput. Stat. Data Anal. Mohammed Lamine Bouchouia, François Portier
2021	B	`conf`	Individual Survival Curves with Conditional Normalizing Flows. DSAA Guillaume Ausset, Tom Ciffreo, François Portier, Stéphan Clémençon, Timothée Papin
2021	J	`jnl`	Individual Survival Curves with Conditional Normalizing Flows. CoRR Guillaume Ausset, Tom Ciffreo, François Portier, Stéphan Clémençon, Timothée Papin
2021	A	`conf`	Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications. AISTATS Guillaume Ausset, Stéphan Clémençon, François Portier
2021	J	`jnl`	SGD with Coordinate Sampling: Theory and Practice. CoRR Rémi Leluc, François Portier
2020	J	`jnl`	Learning methods for RSSI-based geolocation: A comparative study. Pervasive Mob. Comput. Kevin Elgui, Pascal Bianchi, François Portier, Olivier Isson
2020	—	`conf`	Metric Learning for Fingerprint RSSI-Localization. PLANS Kevin Elgui, Pascal Bianchi, Olivier Isson, François Portier, Renaud Marty
2020	J	`jnl`	Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications. CoRR Guillaume Ausset, Stéphan Clémençon, François Portier
2020	J	`jnl`	Risk bounds when learning infinitely many response functions by ordinary linear regression. CoRR Vincent Plassier, François Portier, Johan Segers
2020	J	`jnl`	Towards Asymptotic Optimality with Conditioned Stochastic Gradient Descent. CoRR Rémi Leluc, François Portier
2019	J	`jnl`	Empirical Risk Minimization under Random Censorship: Theory and Practice. CoRR Guillaume Ausset, Stéphan Clémençon, François Portier
2019	—	`conf`	Learning Methods for RSSI-based Geolocation: A Comparative Study. EUSIPCO Kevin Elgui, Pascal Bianchi, François Portier, Olivier Isson
2019	J	`jnl`	Monte Carlo integration with a growing number of control variates. J. Appl. Probab. François Portier, Johan Segers
2018	A*	`conf`	Asymptotic optimality of adaptive importance sampling. NeurIPS François Portier, Bernard Delyon
2018	A	`conf`	Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods. AISTATS Stéphan Clémençon, François Portier
2018	J	`jnl`	On the weak convergence of the empirical conditional copula under a simplifying assumption. J. Multivar. Anal. François Portier, Johan Segers
2013	J	`jnl`	Optimal transformation: A new approach for covering the central subspace. J. Multivar. Anal. François Portier, Bernard Delyon