research
∙
04/29/2023
Change point detection in low-rank VAR processes
Vector autoregressive (VAR) models are widely used in multivariate time ...
share
research
∙
11/05/2021
Optimality of variational inference for stochastic block model with missing links
Variational methods are extremely popular in the analysis of network dat...
research
∙
07/08/2021
Assigning Topics to Documents by Successive Projections
Topic models provide a useful tool to organize and understand the struct...
research
∙
06/28/2021
Change-Point Detection in Dynamic Networks with Missing Links
Structural changes occur in dynamic networks quite frequently and its de...
research
∙
11/29/2019
Link Prediction in the Stochastic Block Model with Outliers
The Stochastic Block Model is a popular model for network analysis in th...
research
∙
02/27/2019
Maximum Likelihood Estimation of Sparse Networks with Missing Observations
Estimating the matrix of connections probabilities is one of the key que...
research
∙
12/20/2018
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
Many applications of machine learning involve the analysis of large data...
research
∙
07/24/2018
Collective Matrix Completion
Matrix completion aims to reconstruct a data matrix based on observation...
research
∙
06/26/2018
Main effects and interactions in mixed and incomplete data frames
A mixed data frame (MDF) is a table collecting categorical, numerical an...
research
∙
12/08/2014
