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Regularized Newton Method with Global $O(1/k^2)$ Convergence

Regularized Newton Method with Global O(1/k2)O(1/k^2)O(1/k2) Convergence

3 December 2021
Konstantin Mishchenko
ArXivPDFHTML

Papers citing "Regularized Newton Method with Global $O(1/k^2)$ Convergence"

9 / 9 papers shown
Title
Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of
  Newton Method
Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method
N. Doikov
30
6
0
28 Aug 2023
Sketch-and-Project Meets Newton Method: Global $\mathcal O(k^{-2})$
  Convergence with Low-Rank Updates
Sketch-and-Project Meets Newton Method: Global O(k−2)\mathcal O(k^{-2})O(k−2) Convergence with Low-Rank Updates
Slavomír Hanzely
33
6
0
22 May 2023
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic
  Newton Methods
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods
El Mahdi Chayti
N. Doikov
Martin Jaggi
ODL
29
6
0
23 Feb 2023
Second-order optimization with lazy Hessians
Second-order optimization with lazy Hessians
N. Doikov
El Mahdi Chayti
Martin Jaggi
36
16
0
01 Dec 2022
Extra-Newton: A First Approach to Noise-Adaptive Accelerated
  Second-Order Methods
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Kimon Antonakopoulos
Ali Kavis
V. Cevher
ODL
39
12
0
03 Nov 2022
Super-Universal Regularized Newton Method
Super-Universal Regularized Newton Method
N. Doikov
Konstantin Mishchenko
Y. Nesterov
16
29
0
11 Aug 2022
The First Optimal Acceleration of High-Order Methods in Smooth Convex
  Optimization
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization
D. Kovalev
Alexander Gasnikov
51
29
0
19 May 2022
SCORE: Approximating Curvature Information under Self-Concordant
  Regularization
SCORE: Approximating Curvature Information under Self-Concordant Regularization
Adeyemi Damilare Adeoye
Alberto Bemporad
20
4
0
14 Dec 2021
Practical Reinforcement Learning For MPC: Learning from sparse
  objectives in under an hour on a real robot
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot
Napat Karnchanachari
M. I. Valls
David Hoeller
Marco Hutter
46
41
0
06 Mar 2020
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