Nikita Puchkin

25 papers A* 4A 2Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Schrödinger bridge problem via empirical risk minimization. CoRR Denis Belomestny, Alexey Naumov, Nikita Puchkin, Denis Suchkov
2025	J	`jnl`	Approximation Capabilities of Feedforward Neural Networks with GELU Activations. CoRR Konstantin Yakovlev, Nikita Puchkin
2025	J	`jnl`	Dimension-free bounds in high-dimensional linear regression via error-in-operator approach. CoRR Fedor Noskov, Nikita Puchkin, Vladimir G. Spokoiny
2025	A*	`conf`	Generalization error bound for denoising score matching under relaxed manifold assumption. COLT Konstantin Yakovlev, Nikita Puchkin
2025	J	`jnl`	Generalization error bound for denoising score matching under relaxed manifold assumption. CoRR Konstantin Yakovlev, Nikita Puchkin
2025	J	`jnl`	Implicit score matching meets denoising score matching: improved rates of convergence and log-density Hessian estimation. CoRR Konstantin Yakovlev, Anna Markovich, Nikita Puchkin
2025	J	`jnl`	Sample complexity of Schrödinger potential estimation. CoRR Nikita Puchkin, Iurii Pustovalov, Yuri Sapronov, Denis Suchkov, Alexey Naumov, Denis Belomestny
2025	J	`jnl`	Simultaneous Approximation of the Score Function and Its Derivatives by Deep Neural Networks. CoRR Konstantin Yakovlev, Nikita Puchkin
2025	J	`jnl`	Tight Bounds for Schrödinger Potential Estimation in Unpaired Image-to-Image Translation Problems. CoRR Nikita Puchkin, Denis Suchkov, Alexey Naumov, Denis Belomestny
2024	A	`conf`	Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems. AISTATS Nikita Puchkin, Eduard Gorbunov, Nikolay Kutuzov, Alexander V. Gasnikov
2024	A*	`conf`	Dimension-free Structured Covariance Estimation. COLT Nikita Puchkin, Maxim V. Rakhuba
2024	J	`jnl`	Rates of convergence for density estimation with generative adversarial networks. J. Mach. Learn. Res. Nikita Puchkin, Sergey Samsonov, Denis Belomestny, Eric Moulines, Alexey Naumov
2024	J	`jnl`	Score-based change point detection via tracking the best of infinitely many experts. CoRR Anna Markovich, Nikita Puchkin
2023	A	`conf`	A Contrastive Approach to Online Change Point Detection. AISTATS Nikita Puchkin, Valeriia Shcherbakova
2023	J	`jnl`	Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems. CoRR Nikita Puchkin, Eduard Gorbunov, Nikolay Kutuzov, Alexander V. Gasnikov
2023	A*	`conf`	Exploring Local Norms in Exp-concave Statistical Learning. COLT Nikita Puchkin, Nikita Zhivotovskiy
2023	J	`jnl`	Exploring Local Norms in Exp-concave Statistical Learning. CoRR Nikita Puchkin, Nikita Zhivotovskiy
2023	J	`jnl`	Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations. Neural Networks Denis Belomestny, Alexey Naumov, Nikita Puchkin, Sergey Samsonov
2022	J	`jnl`	A Contrastive Approach to Online Change Point Detection. CoRR Nikita Puchkin, Valeriia Shcherbakova
2022	J	`jnl`	Exponential Savings in Agnostic Active Learning Through Abstention. IEEE Trans. Inf. Theory Nikita Puchkin, Nikita Zhivotovskiy
2022	J	`jnl`	Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations. CoRR Denis Belomestny, Alexey Naumov, Nikita Puchkin, Sergey Samsonov
2022	J	`jnl`	Structure-adaptive Manifold Estimation. J. Mach. Learn. Res. Nikita Puchkin, Vladimir G. Spokoiny
2021	J	`jnl`	Exponential Savings in Agnostic Active Learning through Abstention. CoRR Nikita Puchkin, Nikita Zhivotovskiy
2021	A*	`conf`	Exponential savings in agnostic active learning through abstention. COLT Nikita Puchkin, Nikita Zhivotovskiy
2018	J	`jnl`	Pointwise adaptation via stagewise aggregation of local estimates for multiclass classification. CoRR Nikita Puchkin, Vladimir G. Spokoiny