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Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic
  Regression, Sigmoid and more

Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more

21 February 2018
Elad Tolochinsky
Ibrahim Jubran
Dan Feldman
    CLL
ArXivPDFHTML

Papers citing "Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more"

4 / 4 papers shown
Title
Importance Sampling for Nonlinear Models
Importance Sampling for Nonlinear Models
Prakash Palanivelu Rajmohan
Fred Roosta
12
0
0
18 May 2025
No Dimensional Sampling Coresets for Classification
No Dimensional Sampling Coresets for Classification
M. Alishahi
Jeff M. Phillips
42
1
0
07 Feb 2024
Provable Data Subset Selection For Efficient Neural Network Training
Provable Data Subset Selection For Efficient Neural Network Training
M. Tukan
Samson Zhou
Alaa Maalouf
Daniela Rus
Vladimir Braverman
Dan Feldman
MLT
31
9
0
09 Mar 2023
Introduction to Core-sets: an Updated Survey
Introduction to Core-sets: an Updated Survey
Dan Feldman
22
62
0
18 Nov 2020
1