Clément Lalanne

According to our database1, Clément Lalanne authored at least 9 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Privately Learning Smooth Distributions on the Hypercube by Projections.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
On the tradeoffs of statistical learning with privacy. (Sur les compromis liés à l'apprentissage statistique sous contraintes de confidentialité).
PhD thesis, 2023

About the Cost of Central Privacy in Density Estimation.
Trans. Mach. Learn. Res., 2023

On the Statistical Complexity of Estimation and Testing under Privacy Constraints.
Trans. Mach. Learn. Res., 2023

About the Cost of Global Privacy in Density Estimation.
CoRR, 2023

Sparsity in neural networks can increase their privacy.
CoRR, 2023

Private Statistical Estimation of Many Quantiles.
Proceedings of the International Conference on Machine Learning, 2023

2022
Private Quantiles Estimation in the Presence of Atoms.
CoRR, 2022

2020
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020


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