Nikita Doikov

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Global Convergence

Regularized Least Squares

Top Venues

Publications

Nikita Doikov, Yurii E. Nesterov
Gradient regularization of Newton method with Bregman distances. Math. Program. 204 (1) (2024)
Nikita Doikov, Konstantin Mishchenko, Yurii E. Nesterov
Super-Universal Regularized Newton Method. SIAM J. Optim. 34 (1) (2024)
Jim Zhao, Aurelien Lucchi, Nikita Doikov
Cubic regularized subspace Newton for non-convex optimization. CoRR (2024)
Maria-Luiza Vladarean, Nikita Doikov, Martin Jaggi, Nicolas Flammarion
Linearization Algorithms for Fully Composite Optimization. COLT (2023)
El Mahdi Chayti, Nikita Doikov, Martin Jaggi
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods. CoRR (2023)
Nikita Doikov, Anton Rodomanov
Polynomial Preconditioning for Gradient Methods. CoRR (2023)
Maria-Luiza Vladarean, Nikita Doikov, Martin Jaggi, Nicolas Flammarion
Linearization Algorithms for Fully Composite Optimization. CoRR (2023)
Nikita Doikov, El Mahdi Chayti, Martin Jaggi
Second-Order Optimization with Lazy Hessians. ICML (2023)
Anastasia Koloskova, Nikita Doikov, Sebastian U. Stich, Martin Jaggi
Shuffle SGD is Always Better than SGD: Improved Analysis of SGD with Arbitrary Data Orders. CoRR (2023)
Nikita Doikov, Geovani Nunes Grapiglia
First and zeroth-order implementations of the regularized Newton method with lazy approximated Hessians. CoRR (2023)
Nikita Doikov, Anton Rodomanov
Polynomial Preconditioning for Gradient Methods. ICML (2023)
Nikita Doikov, Yurii E. Nesterov
Affine-invariant contracting-point methods for Convex Optimization. Math. Program. 198 (1) (2023)
Nikita Doikov
Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method. CoRR (2023)
Nikita Doikov, El Mahdi Chayti, Martin Jaggi
Second-order optimization with lazy Hessians. CoRR (2022)
Nikita Doikov, Konstantin Mishchenko, Yurii E. Nesterov
Super-Universal Regularized Newton Method. CoRR (2022)
Nikita Doikov, Yurii E. Nesterov
Local convergence of tensor methods. Math. Program. 193 (1) (2022)
Nikita Doikov, Yurii E. Nesterov
High-Order Optimization Methods for Fully Composite Problems. SIAM J. Optim. 32 (3) (2022)
Nikita Doikov, Yurii E. Nesterov
Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method. J. Optim. Theory Appl. 189 (1) (2021)
Nikita Doikov, Yurii E. Nesterov
Inexact Tensor Methods with Dynamic Accuracies. ICML (2020)
Filip Hanzely, Nikita Doikov, Yurii E. Nesterov, Peter Richtárik
Stochastic Subspace Cubic Newton Method. ICML (2020)
Nikita Doikov, Yurii E. Nesterov
Convex optimization based on global lower second-order models. NeurIPS (2020)
Nikita Doikov, Yurii E. Nesterov
Contracting Proximal Methods for Smooth Convex Optimization. SIAM J. Optim. 30 (4) (2020)
Filip Hanzely, Nikita Doikov, Peter Richtárik, Yurii E. Nesterov
Stochastic Subspace Cubic Newton Method. CoRR (2020)
Nikita Doikov, Peter Richtárik
Randomized Block Cubic Newton Method. ICML (2018)