4 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
Optimality of variational inference for stochastic block model with missing links
Solenne Gaucher, Olga Klopp
Variational methods are extremely popular in the analysis of network data. Statistical guarantees obtained for these methods typically provide asymptotic normality for the problem…
Assigning Topics to Documents by Successive Projections
Olga Klopp, Maxim Panov, Suzanne Sigalla +1
Topic models provide a useful tool to organize and understand the structure of large corpora of text documents, in particular, to discover hidden thematic structure. Clustering doc…
Structured Matrix Estimation and Completion
Olga Klopp, Yu Lu, Alexandre B. Tsybakov +1
We study the problem of matrix estimation and matrix completion under a general framework. This framework includes several important models as special cases such as the gaussian mi…
Non-asymptotic approach to varying coefficient model
Olga Klopp, Marianna Pensky
In the present paper we consider the varying coefficient model which represents a useful tool for exploring dynamic patterns in many applications. Existing methods typically provid…