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On Coresets for Logistic Regression

On Coresets for Logistic Regression

22 May 2018
Alexander Munteanu
Chris Schwiegelshohn
C. Sohler
David P. Woodruff
ArXivPDFHTML

Papers citing "On Coresets for Logistic Regression"

17 / 17 papers shown
Title
Near-Polynomially Competitive Active Logistic Regression
Near-Polynomially Competitive Active Logistic Regression
Yihan Zhou
Eric Price
Trung Nguyen
46
0
0
07 Mar 2025
No Dimensional Sampling Coresets for Classification
No Dimensional Sampling Coresets for Classification
M. Alishahi
Jeff M. Phillips
34
1
0
07 Feb 2024
Computing Approximate $\ell_p$ Sensitivities
Computing Approximate ℓp\ell_pℓp​ Sensitivities
Swati Padmanabhan
David P. Woodruff
Qiuyi Zhang
45
0
0
07 Nov 2023
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification
  Tasks
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks
Jean-Michel Attendu
Jean-Philippe Corbeil
33
15
0
05 Jun 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Patrik Okanovic
R. Waleffe
Vasilis Mageirakos
Konstantinos E. Nikolakakis
Amin Karbasi
Dionysis Kalogerias
Nezihe Merve Gürel
Theodoros Rekatsinas
DD
45
12
0
28 May 2023
Dataset Distillation with Convexified Implicit Gradients
Dataset Distillation with Convexified Implicit Gradients
Noel Loo
Ramin Hasani
Mathias Lechner
Daniela Rus
DD
31
41
0
13 Feb 2023
Leveraging Importance Weights in Subset Selection
Leveraging Importance Weights in Subset Selection
Gui Citovsky
Giulia DeSalvo
Sanjiv Kumar
Srikumar Ramalingam
Afshin Rostamizadeh
Yunjuan Wang
32
3
0
28 Jan 2023
Coresets for Relational Data and The Applications
Coresets for Relational Data and The Applications
Jiaxiang Chen
Qingyuan Yang
Ru Huang
Hu Ding
18
4
0
09 Oct 2022
Online Lewis Weight Sampling
Online Lewis Weight Sampling
David P. Woodruff
T. Yasuda
28
21
0
17 Jul 2022
$p$-Generalized Probit Regression and Scalable Maximum Likelihood
  Estimation via Sketching and Coresets
ppp-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets
Alexander Munteanu
Simon Omlor
Christian Peters
23
10
0
25 Mar 2022
Obstacle Aware Sampling for Path Planning
Obstacle Aware Sampling for Path Planning
M. Tukan
Alaa Maalouf
Dan Feldman
Roi Poranne
28
8
0
08 Mar 2022
A Novel Sequential Coreset Method for Gradient Descent Algorithms
A Novel Sequential Coreset Method for Gradient Descent Algorithms
Jiawei Huang
Ru Huang
Wenjie Liu
N. Freris
Huihua Ding
29
16
0
05 Dec 2021
Introduction to Coresets: Approximated Mean
Introduction to Coresets: Approximated Mean
Alaa Maalouf
Ibrahim Jubran
Dan Feldman
19
6
0
04 Nov 2021
Coresets for Decision Trees of Signals
Coresets for Decision Trees of Signals
Ibrahim Jubran
Ernesto Evgeniy Sanches Shayda
I. Newman
Dan Feldman
22
17
0
07 Oct 2021
Oblivious sketching for logistic regression
Oblivious sketching for logistic regression
Alexander Munteanu
Simon Omlor
David P. Woodruff
UQCV
46
17
0
14 Jul 2021
Adversarial Robustness of Streaming Algorithms through Importance
  Sampling
Adversarial Robustness of Streaming Algorithms through Importance Sampling
Vladimir Braverman
Avinatan Hassidim
Yossi Matias
Mariano Schain
Sandeep Silwal
Samson Zhou
AAML
OOD
24
38
0
28 Jun 2021
Data Appraisal Without Data Sharing
Data Appraisal Without Data Sharing
Mimee Xu
L. V. D. van der Maaten
Awni Y. Hannun
TDI
31
6
0
11 Dec 2020
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