activity
20162021
most citedSolving weakly supervised regression problem using low-rank manifold regularization

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

stat.CO2021

Identification of unknown parameters and prediction with hierarchical matrices

Alexander Litvinenko, Ronald Kriemann, Vladimir Berikov

Statistical analysis of massive datasets very often implies expensive linear algebra operations with large dense matrices. Typical tasks are an estimation of unknown parameters of…

cs.LG2021★ 2 cited

Solving weakly supervised regression problem using low-rank manifold regularization

Vladimir Berikov, Alexander Litvinenko

We solve a weakly supervised regression problem. Under "weakly" we understand that for some training points the labels are known, for some unknown, and for others uncertain due to…