Showing results (1-10 of 12) with videos related to
Sort By:
Pageof 2
Mathematical Programming|May 10, 2022
Local convergence of tensor methodsNikita Doikov, Yurii NesterovJournal of Optimization Theory and Applications|November 1, 2021
Minimizing Uniformly Convex Functions by Cubic Regularization of Newton MethodNikita Doikov, Yurii NesterovMathematical Programming|February 19, 2024
Gradient regularization of Newton method with Bregman distancesNikita Doikov, Yurii NesterovJournal of Optimization Theory and Applications|December 12, 2024
Primal Subgradient Methods with Predefined Step SizesYurii NesterovMathematical Programming|February 25, 2021
Implementable tensor methods in unconstrained convex optimizationYurii NesterovMathematical Programming|May 8, 2023
Subgradient ellipsoid method for nonsmooth convex problemsAnton Rodomanov, Yurii NesterovJournal of Optimization Theory and Applications|May 19, 2020
Smoothness Parameter of Power of Euclidean NormAnton Rodomanov, Yurii NesterovJournal of Optimization Theory and Applications|March 22, 2021
New Results on Superlinear Convergence of Classical Quasi-Newton MethodsAnton Rodomanov, Yurii NesterovMathematical Programming|October 18, 2024
High-order methods beyond the classical complexity bounds: inexact high-order proximal-point methodsMasoud Ahookhosh, Yurii NesterovPageof 2