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Mean Nyström Embeddings for Adaptive Compressive Learning
v1v2 (latest)

Mean Nyström Embeddings for Adaptive Compressive Learning

21 October 2021
Antoine Chatalic
Luigi Carratino
Ernesto De Vito
Lorenzo Rosasco
ArXiv (abs)PDFHTML

Papers citing "Mean Nyström Embeddings for Adaptive Compressive Learning"

4 / 4 papers shown
Title
Sketch and shift: a robust decoder for compressive clustering
Sketch and shift: a robust decoder for compressive clustering
Ayoub Belhadji
Rémi Gribonval
73
2
0
15 Dec 2023
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Antoine Chatalic
Nicolas Schreuder
Ernesto De Vito
Lorenzo Rosasco
70
5
0
22 Nov 2023
Sketch In, Sketch Out: Accelerating both Learning and Inference for
  Structured Prediction with Kernels
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
T. Ahmad
Luc Brogat-Motte
Pierre Laforgue
Florence dÁlché-Buc
BDL
86
6
0
20 Feb 2023
Fast Kernel Methods for Generic Lipschitz Losses via $p$-Sparsified
  Sketches
Fast Kernel Methods for Generic Lipschitz Losses via ppp-Sparsified Sketches
T. Ahmad
Pierre Laforgue
Florence dÁlché-Buc
90
5
0
08 Jun 2022
1