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cs.LG2023
Sketch and shift: a robust decoder for compressive clustering
Ayoub Belhadji, Rémi Gribonval
Compressive learning is an emerging approach to drastically reduce the memory footprint of large-scale learning, by first summarizing a large dataset into a low-dimensional sketch…
stat.ML2023★ 1 cited
Revisiting RIP guarantees for sketching operators on mixture models
Ayoub Belhadji, Rémi Gribonval
In the context of sketching for compressive mixture modeling, we revisit existing proofs of the Restricted Isometry Property of sketching operators with respect to certain mixtures…
cs.AI2023
About the Cost of Central Privacy in Density Estimation
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
We study non-parametric density estimation for densities in Lipschitz and Sobolev spaces, and under central privacy. In particular, we investigate regimes where the privacy budget…