research
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03/06/2023
Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss
We consider a deep matrix factorization model of covariance matrices tra...
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03/16/2022
High dimensional change-point detection: a complete graph approach
The aim of online change-point detection is for a accurate, timely disco...
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11/25/2020
A LepskiÄ-type stopping rule for the covariance estimation of multi-dimensional Lévy processes
We suppose that a Lévy process is observed at discrete time points. Star...
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06/07/2019
Online Graph-Based Change-Point Detection for High Dimensional Data
Online change-point detection (OCPD) is important for application in var...
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03/15/2019
