activity
20162021
most citedChange-point detection in high-dimensional covariance structure

58 citations · 61 across the 5 of their papers we have counts for

collaborators

7 papers

stat.ML2021

Uncertainty quantification for distributed regression

Valeriy Avanesov

The ever-growing size of the datasets renders well-studied learning techniques, such as Kernel Ridge Regression, inapplicable, posing a serious computational challenge. Divide-and-…

stat.ML2019

Data-driven confidence bands for distributed nonparametric regression

Valeriy Avanesov

Gaussian Process Regression and Kernel Ridge Regression are popular nonparametric regression approaches. Unfortunately, they suffer from high computational complexity rendering the…

stat.ML2019

How to gamble with non-stationary -armed bandits and have no regrets

Valeriy Avanesov

In -armed bandit problem an agent sequentially interacts with environment which yields a reward based on the vector input the agent provides. The agent's goal is to ma…

math.ST2019

Nonparametric Change Point Detection in Regression

Valeriy Avanesov

This paper considers the prominent problem of change-point detection in regression. The study suggests a novel testing procedure featuring a fully data-driven calibration scheme. T…

math.ST2018★ 1 cited

Structural break analysis in high-dimensional covariance structure

Valeriy Avanesov

We consider detection and localization of an abrupt break in the covariance structure of high-dimensional random data. The paper proposes a novel testing procedure for this problem…

math.ST2017★ 2 cited

Bootstrap for change point detection

Nazar Buzun, Valeriy Avanesov

In Change point detection task Likelihood Ratio Test (LRT) is sequentially applied in a sliding window procedure. Its high values indicate changes of parametric distribution in the…

math.ST2016★ 58 cited

Change-point detection in high-dimensional covariance structure

Valeriy Avanesov, Nazar Buzun

In this paper we introduce a novel approach for an important problem of break detection. Specifically, we are interested in detection of an abrupt change in the covariance structur…