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Sketching Datasets for Large-Scale Learning (long version)
v1v2v3 (latest)

Sketching Datasets for Large-Scale Learning (long version)

4 August 2020
Rémi Gribonval
Antoine Chatalic
Nicolas Keriven
V. Schellekens
Laurent Jacques
P. Schniter
ArXiv (abs)PDFHTML

Papers citing "Sketching Datasets for Large-Scale Learning (long version)"

6 / 6 papers shown
Compressive Meta-Learning
Compressive Meta-Learning
D. M. Montserrat
David Bonet
Maria Perera
Xavier Giró-i-Nieto
A. Ioannidis
119
1
0
14 Aug 2025
Effective regions and kernels in continuous sparse regularisation, with application to sketched mixtures
Effective regions and kernels in continuous sparse regularisation, with application to sketched mixtures
Yohann De Castro
Rémi Gribonval
Nicolas Jouvin
213
0
0
11 Jul 2025
Batch-less stochastic gradient descent for compressive learning of deep
  regularization for image denoising
Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoisingJournal of Mathematical Imaging and Vision (JMIV), 2023
Hui Shi
Yann Traonmilin
Jean-François Aujol
202
1
0
02 Oct 2023
CORE: Common Random Reconstruction for Distributed Optimization with
  Provable Low Communication Complexity
CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity
Pengyun Yue
Hanzheng Zhao
Cong Fang
Di He
Liwei Wang
Zhouchen Lin
Song-Chun Zhu
253
1
0
23 Sep 2023
Fitting large mixture models using stochastic component selection
Fitting large mixture models using stochastic component selection
Milan Papez
Tomás Pevný
Václav Smídl
219
0
0
10 Oct 2021
Asymmetric compressive learning guarantees with applications to
  quantized sketches
Asymmetric compressive learning guarantees with applications to quantized sketchesIEEE Transactions on Signal Processing (IEEE TSP), 2021
V. Schellekens
Laurent Jacques
155
1
0
20 Apr 2021
1
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