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Generalized Self-Concordant Functions: A Recipe for Newton-Type Methods

Generalized Self-Concordant Functions: A Recipe for Newton-Type Methods

14 March 2017
Tianxiao Sun
Quoc Tran-Dinh
ArXivPDFHTML

Papers citing "Generalized Self-Concordant Functions: A Recipe for Newton-Type Methods"

14 / 14 papers shown
Title
Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits
Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits
Mengmeng Li
Daniel Kuhn
Bahar Taşkesen
39
0
0
30 Sep 2024
Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of
  Newton Method
Minimizing Quasi-Self-Concordant Functions by Gradient Regularization of Newton Method
N. Doikov
26
6
0
28 Aug 2023
Second-order optimization with lazy Hessians
Second-order optimization with lazy Hessians
N. Doikov
El Mahdi Chayti
Martin Jaggi
23
16
0
01 Dec 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
Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal
  Transport
Convergence of Batch Greenkhorn for Regularized Multimarginal Optimal Transport
Vladimir Kostic
Saverio Salzo
Massimilano Pontil
OT
25
0
0
01 Dec 2021
UCB-based Algorithms for Multinomial Logistic Regression Bandits
UCB-based Algorithms for Multinomial Logistic Regression Bandits
Sanae Amani
Christos Thrampoulidis
34
10
0
21 Mar 2021
Differentially private inference via noisy optimization
Differentially private inference via noisy optimization
Marco Avella-Medina
Casey Bradshaw
Po-Ling Loh
FedML
40
29
0
19 Mar 2021
Newton Method over Networks is Fast up to the Statistical Precision
Newton Method over Networks is Fast up to the Statistical Precision
Amir Daneshmand
G. Scutari
Pavel Dvurechensky
Alexander Gasnikov
27
21
0
12 Feb 2021
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional
  Optimization
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
Quoc Tran-Dinh
Nhan H. Pham
Lam M. Nguyen
27
22
0
17 Feb 2020
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization
Deyi Liu
V. Cevher
Quoc Tran-Dinh
34
15
0
17 Feb 2020
Self-Concordant Analysis of Frank-Wolfe Algorithms
Self-Concordant Analysis of Frank-Wolfe Algorithms
Pavel Dvurechensky
P. Ostroukhov
K. Safin
Shimrit Shtern
Mathias Staudigl
19
24
0
11 Feb 2020
Computing Full Conformal Prediction Set with Approximate Homotopy
Computing Full Conformal Prediction Set with Approximate Homotopy
Eugène Ndiaye
Ichiro Takeuchi
19
15
0
20 Sep 2019
Safe Grid Search with Optimal Complexity
Safe Grid Search with Optimal Complexity
Eugène Ndiaye
Tam Le
Olivier Fercoq
Joseph Salmon
Ichiro Takeuchi
33
45
0
12 Oct 2018
Global linear convergence of Newton's method without strong-convexity or
  Lipschitz gradients
Global linear convergence of Newton's method without strong-convexity or Lipschitz gradients
Sai Praneeth Karimireddy
Sebastian U. Stich
Martin Jaggi
16
50
0
01 Jun 2018
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