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Sylvain Arlot
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2020 – today
- 2023
- [c8]Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot:
One-Shot Federated Conformal Prediction. ICML 2023: 14153-14177 - 2022
- [c7]Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot:
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension. NeurIPS 2022 - [i7]Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot:
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension. CoRR abs/2205.14613 (2022) - 2021
- [j6]Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle:
Aggregated Hold-Out. J. Mach. Learn. Res. 22: 20:1-20:55 (2021) - 2020
- [c6]Tuan-Binh Nguyen, Jérôme-Alexis Chevalier, Bertrand Thirion, Sylvain Arlot:
Aggregation of Multiple Knockoffs. ICML 2020: 7283-7293 - [i6]El Mehdi Saad, Gilles Blanchard, Sylvain Arlot:
Online Orthogonal Matching Pursuit. CoRR abs/2011.11117 (2020)
2010 – 2019
- 2019
- [j5]Sylvain Arlot, Alain Celisse, Zaïd Harchaoui:
A Kernel Multiple Change-point Algorithm via Model Selection. J. Mach. Learn. Res. 20: 162:1-162:56 (2019) - 2016
- [j4]Sylvain Arlot, Matthieu Lerasle:
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation. J. Mach. Learn. Res. 17: 208:1-208:50 (2016) - [c5]Rémi Lajugie, Piotr Bojanowski, Philippe Cuvillier, Sylvain Arlot, Francis R. Bach:
A weakly-supervised discriminative model for audio-to-score alignment. ICASSP 2016: 2484-2488 - 2015
- [i5]Rémi Lajugie, Piotr Bojanowski, Sylvain Arlot, Francis R. Bach:
Semidefinite and Spectral Relaxations for Multi-Label Classification. CoRR abs/1506.01829 (2015) - 2014
- [c4]Rémi Lajugie, Francis R. Bach, Sylvain Arlot:
Large-Margin Metric Learning for Constrained Partitioning Problems. ICML 2014: 297-305 - [c3]Rémi Lajugie, Damien Garreau, Francis R. Bach, Sylvain Arlot:
Metric Learning for Temporal Sequence Alignment. NIPS 2014: 1817-1825 - [i4]Sylvain Arlot, Robin Genuer:
Analysis of purely random forests bias. CoRR abs/1407.3939 (2014) - [i3]Damien Garreau
, Rémi Lajugie, Sylvain Arlot, Francis R. Bach:
Metric Learning for Temporal Sequence Alignment. CoRR abs/1409.3136 (2014) - 2013
- [i2]Rémi Lajugie, Sylvain Arlot, Francis R. Bach:
Large-Margin Metric Learning for Partitioning Problems. CoRR abs/1303.1280 (2013) - 2012
- [j3]Matthieu Solnon, Sylvain Arlot, Francis R. Bach:
Multi-task regression using minimal penalties. J. Mach. Learn. Res. 13: 2773-2812 (2012) - [i1]Sylvain Arlot, Matthieu Lerasle:
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation. CoRR abs/1210.5830 (2012) - 2011
- [j2]Sylvain Arlot, Alain Celisse:
Segmentation of the mean of heteroscedastic data via cross-validation. Stat. Comput. 21(4): 613-632 (2011)
2000 – 2009
- 2009
- [j1]Sylvain Arlot, Pascal Massart:
Data-driven Calibration of Penalties for Least-Squares Regression. J. Mach. Learn. Res. 10: 245-279 (2009) - [c2]Sylvain Arlot, Francis R. Bach:
Data-driven calibration of linear estimators with minimal penalties. NIPS 2009: 46-54 - 2007
- [c1]Sylvain Arlot, Gilles Blanchard, Étienne Roquain:
Resampling-Based Confidence Regions and Multiple Tests for a Correlated Random Vector. COLT 2007: 127-141
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last updated on 2024-04-25 05:55 CEST by the dblp team
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