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06/07/2023
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
The theory of Koopman operators allows to deploy non-parametric machine ...
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11/25/2022
M^2M: A general method to perform various data analysis tasks from a differentially private sketch
Differential privacy is the standard privacy definition for performing a...
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01/31/2022
Nyström Kernel Mean Embeddings
Kernel mean embeddings are a powerful tool to represent probability dist...
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10/21/2021
Mean Nyström Embeddings for Adaptive Compressive Learning
Compressive learning is an approach to efficient large scale learning ba...
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08/04/2020