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A Fixed-Point of View on Gradient Methods for Big Data
v1v2v3v4 (latest)

A Fixed-Point of View on Gradient Methods for Big Data

29 June 2017
A. Jung
ArXiv (abs)PDFHTML

Papers citing "A Fixed-Point of View on Gradient Methods for Big Data"

8 / 8 papers shown
Title
Training Greedy Policy for Proposal Batch Selection in Expensive
  Multi-Objective Combinatorial Optimization
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
Deokjae Lee
Hyun Oh Song
Kyunghyun Cho
OffRL
93
0
0
21 Jun 2024
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise
Shaan ul Haque
S. Khodadadian
S. T. Maguluri
128
11
0
31 Dec 2023
Shadowing Properties of Optimization Algorithms
Shadowing Properties of Optimization Algorithms
Antonio Orvieto
Aurelien Lucchi
82
18
0
12 Nov 2019
Learning Networked Exponential Families with Network Lasso
Learning Networked Exponential Families with Network Lasso
A. Jung
48
2
0
22 May 2019
Localized Linear Regression in Networked Data
Localized Linear Regression in Networked Data
A. Jung
Nguyen Tran
45
27
0
26 Mar 2019
Classifying Partially Labeled Networked Data via Logistic Network Lasso
Classifying Partially Labeled Networked Data via Logistic Network Lasso
Nguyen Tran
Henrik Ambos
A. Jung
124
10
0
26 Mar 2019
Anderson Acceleration for Reinforcement Learning
Anderson Acceleration for Reinforcement Learning
Matthieu Geist
B. Scherrer
35
39
0
25 Sep 2018
The Logistic Network Lasso
The Logistic Network Lasso
Henrik Ambos
Nguyen Tran
A. Jung
50
6
0
07 May 2018
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