Articles by Nikita Puchkin | Synthical

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Nikita Puchkin

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13

Sharper dimension-free bounds on the Frobenius distance between sample covariance and its expectation

6 September 2024 by Nikita Puchkin and others

Probability, Statistics Theory

Score-based change point detection via tracking the best of infinitely many experts

26 August 2024 by Anna Markovich and Nikita Puchkin

Machine Learning, Methodology

Dimension-free Structured Covariance Estimation

15 June 2024 by Nikita Puchkin and Maxim Rakhuba

Statistics Theory, Signal Processing

Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems

17 April 2024 by Nikita Puchkin and others

Optimization and Control, Data Structures and Algorithms

Rates of convergence for density estimation with generative adversarial networks

25 January 2024 by Nikita Puchkin and others

Statistics Theory, Machine Learning

Reconstruction of manifold embeddings into Euclidean spaces via intrinsic distances

25 January 2024 by Nikita Puchkin and others

Optimization and Control, Metric Geometry

A Contrastive Approach to Online Change Point Detection

6 November 2023 by Artur Goldman and others

Machine Learning, Statistics Theory

Exploring Local Norms in Exp-concave Statistical Learning

5 July 2023 by Nikita Puchkin and Nikita Zhivotovskiy

Machine Learning, Statistics Theory

Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations

2 December 2022 by Denis Belomestny and others at

Higher School of Economics

Numerical Analysis, Statistics Theory

Inference via Randomized Test Statistics

16 November 2022 by Nikita Puchkin and Vladimir Ulyanov

Statistics Theory, Methodology

Exponential Savings in Agnostic Active Learning through Abstention

29 June 2021 by Nikita Puchkin and Nikita Zhivotovskiy

Machine Learning, Information Theory

Manifold-based time series forecasting

15 December 2020 by Nikita Puchkin and others

Statistics Theory

Structure-adaptive manifold estimation

19 June 2019 by Nikita Puchkin and Vladimir Spokoiny

Statistics Theory, Machine Learning

Adaptive multiclass nearest neighbor classifier

5 December 2018 by Nikita Puchkin and Vladimir Spokoiny

Machine Learning

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Topics

Statistics Theory Machine Learning Optimization and Control Methodology Numerical Analysis Information Theory Data Structures and Algorithms Signal Processing Metric Geometry Probability