Nikita Puchkin

Orcid: 0000-0002-9677-4275

According to our database1, Nikita Puchkin authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Rates of convergence for density estimation with generative adversarial networks.
J. Mach. Learn. Res., 2024

Score-based change point detection via tracking the best of infinitely many experts.
CoRR, 2024

Dimension-free Structured Covariance Estimation.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations.
Neural Networks, April, 2023

Exploring Local Norms in Exp-concave Statistical Learning.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

A Contrastive Approach to Online Change Point Detection.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Exponential Savings in Agnostic Active Learning Through Abstention.
IEEE Trans. Inf. Theory, 2022

Structure-adaptive Manifold Estimation.
J. Mach. Learn. Res., 2022

2018
Pointwise adaptation via stagewise aggregation of local estimates for multiclass classification.
CoRR, 2018


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