Learning from time-dependent streaming data with online stochastic algorithms

25 May 2022

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 Antoine Godichon-Baggioni Nicklas Werge ODL 32 3 0 29 Nov 2023
An Online Bootstrap for Time Series Nicolai Palm Thomas Nagler AI4TS 27 0 0 30 Oct 2023
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 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 Hamed Karimi J. Nutini Mark W. Schmidt 119 1,194 0 16 Aug 2016