Apr 17, 2020 · We provide statistical learning guarantees for two unsupervised learning tasks in the context of compressive statistical learning.

Aug 21, 2021 · We provide statistical learning guarantees for two unsupervised learning tasks in the context of compressive statistical learning, a general ...

Aug 16, 2021 · We explicitly describe and analyze random feature functions which empirical averages preserve the needed information for compressive clustering ...

We explicitly describe and analyze random feature functions which empirical averages preserve the needed information for compressive clustering and compressive.

We provide statistical learning guarantees for two unsupervised learning tasks in the context of compressive statistical learning, a general framework for ...

The principle of compressive statistical learning is to compress a training collection, in one pass, into a low-dimensional sketch (a vector of random empirical ...

Aug 17, 2021 · Abstract. We provide statistical learning guarantees for two unsupervised learning tasks in the context of compressive statistical learning ...

The generic idea behind compressive learning is that, for many tasks, we only need to have access to informations from a "low-dimensional" subspace, captured by ...

Compressive statistical learning with random feature moments ... Statistical learning guarantees for compressive clustering and compressive mixture modeling.

We provide statistical learning guarantees for two unsupervised learning tasks in the context of compressive statistical learning, a general framework for ...