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ORCIDNikita Puchkin
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2020 – today
- 2024
[j4]Nikita Puchkin, Sergey Samsonov, Denis Belomestny, Eric Moulines, Alexey Naumov:
Rates of convergence for density estimation with generative adversarial networks. J. Mach. Learn. Res. 25: 29:1-29:47 (2024)- [c5]Nikita Puchkin, Eduard Gorbunov, Nikolay Kutuzov, Alexander V. Gasnikov:
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems. AISTATS 2024: 856-864 - [c4]Nikita Puchkin, Maxim V. Rakhuba:
Dimension-free Structured Covariance Estimation. COLT 2024: 4276-4306 - [i7]Anna Markovich, Nikita Puchkin:
Score-based change point detection via tracking the best of infinitely many experts. CoRR abs/2408.14073 (2024) - 2023
- [j3]Denis Belomestny
, Alexey Naumov, Nikita Puchkin, Sergey Samsonov:
Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations. Neural Networks 161: 242-253 (2023) - [c3]Nikita Puchkin, Valeriia Shcherbakova:
A Contrastive Approach to Online Change Point Detection. AISTATS 2023: 5686-5713 - [c2]Nikita Puchkin, Nikita Zhivotovskiy:
Exploring Local Norms in Exp-concave Statistical Learning. COLT 2023: 1993-2013 - [i6]Nikita Puchkin, Nikita Zhivotovskiy:
Exploring Local Norms in Exp-concave Statistical Learning. CoRR abs/2302.10726 (2023) - [i5]Nikita Puchkin, Eduard Gorbunov, Nikolay Kutuzov, Alexander V. Gasnikov:
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems. CoRR abs/2311.04161 (2023) - 2022
- [j2]Nikita Puchkin, Vladimir G. Spokoiny:
Structure-adaptive Manifold Estimation. J. Mach. Learn. Res. 23: 40:1-40:62 (2022) - [j1]Nikita Puchkin, Nikita Zhivotovskiy:
Exponential Savings in Agnostic Active Learning Through Abstention. IEEE Trans. Inf. Theory 68(7): 4651-4665 (2022) - [i4]Denis Belomestny, Alexey Naumov, Nikita Puchkin, Sergey Samsonov:
Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations. CoRR abs/2206.09527 (2022) - [i3]Nikita Puchkin, Valeriia Shcherbakova:
A Contrastive Approach to Online Change Point Detection. CoRR abs/2206.10143 (2022) - 2021
- [c1]Nikita Puchkin, Nikita Zhivotovskiy:
Exponential savings in agnostic active learning through abstention. COLT 2021: 3806-3832 - [i2]Nikita Puchkin, Nikita Zhivotovskiy:
Exponential Savings in Agnostic Active Learning through Abstention. CoRR abs/2102.00451 (2021)
2010 – 2019
- 2018
- [i1]Nikita Puchkin, Vladimir G. Spokoiny:
Pointwise adaptation via stagewise aggregation of local estimates for multiclass classification. CoRR abs/1804.02756 (2018)
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