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07/19/2023
Deep projection networks for learning time-homogeneous dynamical systems
We consider the general class of time-homogeneous dynamical systems, bot...
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06/01/2023
Robust covariance estimation with missing values and cell-wise contamination
Large datasets are often affected by cell-wise outliers in the form of m...
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02/03/2023
Koopman Operator Learning: Sharp Spectral Rates and Spurious Eigenvalues
Non-linear dynamical systems can be handily described by the associated ...
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05/30/2022
Meta Representation Learning with Contextual Linear Bandits
Meta-learning seeks to build algorithms that rapidly learn how to solve ...
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02/21/2022
Multi-task Representation Learning with Stochastic Linear Bandits
We study the problem of transfer-learning in the setting of stochastic l...
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10/29/2021
Sliding window strategy for convolutional spike sorting with Lasso : Algorithm, theoretical guarantees and complexity
We present a fast algorithm for the resolution of the Lasso for convolut...
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06/08/2021
Muddling Label Regularization: Deep Learning for Tabular Datasets
Deep Learning (DL) is considered the state-of-the-art in computer vision...
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02/17/2021
Muddling Labels for Regularization, a novel approach to generalization
Generalization is a central problem in Machine Learning. Indeed most pre...
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06/11/2020
Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously
Generalization is a central problem in Machine Learning. Most prediction...
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06/28/2019
Large scale Lasso with windowed active set for convolutional spike sorting
Spike sorting is a fundamental preprocessing step in neuroscience that i...
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05/24/2019
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation
This article investigates the quality of the estimator of the linear Mon...
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11/29/2010