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Adaptive Newton Method for Empirical Risk Minimization to Statistical
  Accuracy

Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy

24 May 2016
Aryan Mokhtari
Alejandro Ribeiro
    ODL
ArXivPDFHTML

Papers citing "Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy"

7 / 7 papers shown
Title
Sampling Through the Lens of Sequential Decision Making
Sampling Through the Lens of Sequential Decision Making
J. Dou
Alvin Pan
Runxue Bao
Haiyi Mao
Lei Luo
Zhi-Hong Mao
26
19
0
17 Aug 2022
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
24
21
0
12 Feb 2021
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
Majid Jahani
M. Nazari
R. Tappenden
A. Berahas
Martin Takávc
ODL
11
10
0
06 Jun 2020
Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample
Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample
A. Berahas
Majid Jahani
Peter Richtárik
Martin Takávc
18
40
0
28 Jan 2019
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical
  Risk Minimization via Accumulating Sample Strategy
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy
Majid Jahani
Xi He
Chenxin Ma
Aryan Mokhtari
Dheevatsa Mudigere
Alejandro Ribeiro
Martin Takáč
14
18
0
26 Oct 2018
Stochastic Averaging for Constrained Optimization with Application to
  Online Resource Allocation
Stochastic Averaging for Constrained Optimization with Application to Online Resource Allocation
Tianyi Chen
Aryan Mokhtari
Xin Wang
Alejandro Ribeiro
G. Giannakis
16
49
0
07 Oct 2016
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
84
736
0
19 Mar 2014
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