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Learning from time-dependent streaming data with online stochastic
  algorithms

Learning from time-dependent streaming data with online stochastic algorithms

25 May 2022
Antoine Godichon-Baggioni
Nicklas Werge
Olivier Wintenberger
ArXivPDFHTML

Papers citing "Learning from time-dependent streaming data with online stochastic algorithms"

5 / 5 papers shown
Title
On Adaptive Stochastic Optimization for Streaming Data: A Newton's
  Method with O(dN) Operations
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations
Antoine Godichon-Baggioni
Nicklas Werge
ODL
32
3
0
29 Nov 2023
An Online Bootstrap for Time Series
An Online Bootstrap for Time Series
Nicolai Palm
Thomas Nagler
AI4TS
27
0
0
30 Oct 2023
Linearly Converging Error Compensated SGD
Linearly Converging Error Compensated SGD
Eduard A. Gorbunov
D. Kovalev
Dmitry Makarenko
Peter Richtárik
163
77
0
23 Oct 2020
New Convergence Aspects of Stochastic Gradient Algorithms
New Convergence Aspects of Stochastic Gradient Algorithms
Lam M. Nguyen
Phuong Ha Nguyen
Peter Richtárik
K. Scheinberg
Martin Takáč
Marten van Dijk
18
65
0
10 Nov 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
119
1,194
0
16 Aug 2016
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