Resampling-Based Confidence Regions and Multiple Tests for a Correlated Random Vector. - Sylvain Arlot; Gilles Blanchard; Étienne Roquain (COLT, 2007)

Data-driven calibration of linear estimators with minimal penalties. - Sylvain Arlot; Francis R. Bach (NIPS, 2009)

Data-driven Calibration of Penalties for Least-Squares Regression. - Sylvain Arlot; Pascal Massart (J. Mach. Learn. Res., 2009)

Segmentation of the mean of heteroscedastic data via cross-validation. - Sylvain Arlot; Alain Celisse (Stat. Comput., 2011)

Multi-task regression using minimal penalties. - Matthieu Solnon; Sylvain Arlot; Francis R. Bach (J. Mach. Learn. Res., 2012)

Large-Margin Metric Learning for Partitioning Problems - Rémi Lajugie; Sylvain Arlot; Francis R. Bach (CoRR, 2013)

Large-Margin Metric Learning for Constrained Partitioning Problems. - Rémi Lajugie; Francis R. Bach; Sylvain Arlot (ICML, 2014)

Metric Learning for Temporal Sequence Alignment. - Rémi Lajugie; Damien Garreau; Francis R. Bach; Sylvain Arlot (NIPS, 2014)

Analysis of purely random forests bias. - Sylvain Arlot; Robin Genuer (CoRR, 2014)

Semidefinite and Spectral Relaxations for Multi-Label Classification. - Rémi Lajugie; Piotr Bojanowski; Sylvain Arlot; Francis R. Bach (CoRR, 2015)

A weakly-supervised discriminative model for audio-to-score alignment. - Rémi Lajugie; Piotr Bojanowski; Philippe Cuvillier; Sylvain Arlot; Francis R. Bach (ICASSP, 2016)

Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation. - Sylvain Arlot; Matthieu Lerasle (J. Mach. Learn. Res., 2016)

A Kernel Multiple Change-point Algorithm via Model Selection. - Sylvain Arlot; Alain Celisse; Zaïd Harchaoui (J. Mach. Learn. Res., 2019)

Aggregation of Multiple Knockoffs. - Tuan-Binh Nguyen; Jérôme-Alexis Chevalier; Bertrand Thirion; Sylvain Arlot (ICML, 2020)

Online Orthogonal Matching Pursuit. - El Mehdi Saad; Gilles Blanchard; Sylvain Arlot (CoRR, 2020)

Aggregated Hold-Out. - Guillaume Maillard; Sylvain Arlot; Matthieu Lerasle (J. Mach. Learn. Res., 2021)

A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension. - Binh T. Nguyen; Bertrand Thirion; Sylvain Arlot (NeurIPS, 2022)

One-Shot Federated Conformal Prediction. - Pierre Humbert; Batiste Le Bars; Aurélien Bellet; Sylvain Arlot (ICML, 2023)