4 citations · 11 across the 8 of their papers we have counts for
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cs.CR2022
MM: A general method to perform various data analysis tasks from a differentially private sketch
Florimond Houssiau, Vincent Schellekens, Antoine Chatalic +2
Differential privacy is the standard privacy definition for performing analyses over sensitive data. Yet, its privacy budget bounds the number of tasks an analyst can perform with…
stat.ML2022
Nyström Kernel Mean Embeddings
Antoine Chatalic, Nicolas Schreuder, Alessandro Rudi +1
Kernel mean embeddings are a powerful tool to represent probability distributions over arbitrary spaces as single points in a Hilbert space. Yet, the cost of computing and storing…