Sylvain Arlot

According to our database, Sylvain Arlot authored at least 18 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

One-Shot Federated Conformal Prediction.

Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot

Proceedings of the International Conference on Machine Learning, 2023

2022

A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension.

Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Aggregated Hold-Out.

Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle

J. Mach. Learn. Res., 2021

2020

Online Orthogonal Matching Pursuit.

El Mehdi Saad, Gilles Blanchard, Sylvain Arlot

CoRR, 2020

Aggregation of Multiple Knockoffs.

Tuan-Binh Nguyen, Jérôme-Alexis Chevalier, Bertrand Thirion, Sylvain Arlot

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A Kernel Multiple Change-point Algorithm via Model Selection.

Sylvain Arlot, Alain Celisse, Zaïd Harchaoui

J. Mach. Learn. Res., 2019

2016

Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation.

Sylvain Arlot, Matthieu Lerasle

J. Mach. Learn. Res., 2016

A weakly-supervised discriminative model for audio-to-score alignment.

Rémi Lajugie, Piotr Bojanowski, Philippe Cuvillier, Sylvain Arlot, Francis R. Bach

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Semidefinite and Spectral Relaxations for Multi-Label Classification.

Rémi Lajugie, Piotr Bojanowski, Sylvain Arlot, Francis R. Bach

CoRR, 2015

2014

Analysis of purely random forests bias.

Sylvain Arlot, Robin Genuer

CoRR, 2014

Metric Learning for Temporal Sequence Alignment.

Rémi Lajugie, Damien Garreau, Francis R. Bach, Sylvain Arlot

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Large-Margin Metric Learning for Constrained Partitioning Problems.

Rémi Lajugie, Francis R. Bach, Sylvain Arlot

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Large-Margin Metric Learning for Partitioning Problems

Rémi Lajugie, Sylvain Arlot, Francis R. Bach

CoRR, 2013

2012

Multi-task regression using minimal penalties.

Matthieu Solnon, Sylvain Arlot, Francis R. Bach

J. Mach. Learn. Res., 2012

2011

Segmentation of the mean of heteroscedastic data via cross-validation.

Sylvain Arlot, Alain Celisse

Stat. Comput., 2011

2009

Data-driven Calibration of Penalties for Least-Squares Regression.

Sylvain Arlot, Pascal Massart

J. Mach. Learn. Res., 2009

Data-driven calibration of linear estimators with minimal penalties.

Sylvain Arlot, Francis R. Bach

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2007

Resampling-Based Confidence Regions and Multiple Tests for a Correlated Random Vector.

Sylvain Arlot, Gilles Blanchard, Étienne Roquain

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007