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2020 – today
- 2024
[c3]Clément Lalanne, Sébastien Gadat:
Privately Learning Smooth Distributions on the Hypercube by Projections. ICML 2024- 2023
- [b1]Clément Lalanne:
On the tradeoffs of statistical learning with privacy. (Sur les compromis liés à l'apprentissage statistique sous contraintes de confidentialité). École normale supérieure de Lyon, France, 2023 - [j2]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
On the Statistical Complexity of Estimation and Testing under Privacy Constraints. Trans. Mach. Learn. Res. 2023 (2023) - [j1]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
About the Cost of Central Privacy in Density Estimation. Trans. Mach. Learn. Res. 2023 (2023) - [c2]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
Private Statistical Estimation of Many Quantiles. ICML 2023: 18399-18418 - [i6]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
Private Statistical Estimation of Many Quantiles. CoRR abs/2302.06943 (2023) - [i5]Antoine Gonon, Léon Zheng, Clément Lalanne, Quoc-Tung Le, Guillaume Lauga, Can Pouliquen:
Sparsity in neural networks can increase their privacy. CoRR abs/2304.07234 (2023) - [i4]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
About the Cost of Global Privacy in Density Estimation. CoRR abs/2306.14535 (2023) - 2022
- [i3]Clément Lalanne, Clément Gastaud, Nicolas Grislain, Aurélien Garivier, Rémi Gribonval:
Private Quantiles Estimation in the Presence of Atoms. CoRR abs/2202.08969 (2022) - [i2]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
On the Statistical Complexity of Estimation and Testing under Privacy Constraints. CoRR abs/2210.02215 (2022) - 2020
- [c1]Clément Lalanne, Maxence Rateaux, Laurent Oudre, Matthieu P. Robert, Thomas Moreau:
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding. EMBC 2020: 928-931 - [i1]Clément Lalanne, Maxence Rateaux, Laurent Oudre, Matthieu P. Robert, Thomas Moreau
:
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding. CoRR abs/2011.14962 (2020)
Coauthor Index
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