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On Coresets for Logistic Regression
v1v2v3 (latest)

On Coresets for Logistic Regression

22 May 2018
Alexander Munteanu
Chris Schwiegelshohn
C. Sohler
David P. Woodruff
ArXiv (abs)PDFHTML

Papers citing "On Coresets for Logistic Regression"

19 / 69 papers shown
Title
Deep Learning on a Data Diet: Finding Important Examples Early in
  Training
Deep Learning on a Data Diet: Finding Important Examples Early in Training
Mansheej Paul
Surya Ganguli
Gintare Karolina Dziugaite
127
464
0
15 Jul 2021
Oblivious sketching for logistic regression
Oblivious sketching for logistic regression
Alexander Munteanu
Simon Omlor
David P. Woodruff
UQCV
85
18
0
14 Jul 2021
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning
  (With Outliers) Problems
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Zixiu Wang
Yiwen Guo
Hu Ding
OOD
59
7
0
30 Jun 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
AAMLOOD
65
43
0
28 Jun 2021
Semi-supervised Active Regression
Semi-supervised Active Regression
Fnu Devvrit
Nived Rajaraman
Pranjal Awasthi
112
0
0
12 Jun 2021
Coresets for Classification -- Simplified and Strengthened
Coresets for Classification -- Simplified and Strengthened
Tung Mai
Anup B. Rao
Cameron Musco
96
35
0
08 Jun 2021
Data Appraisal Without Data Sharing
Data Appraisal Without Data Sharing
Mimee Xu
Laurens van der Maaten
Awni Y. Hannun
TDI
103
6
0
11 Dec 2020
A Statistical Perspective on Coreset Density Estimation
A Statistical Perspective on Coreset Density Estimation
Paxton Turner
Jingbo Liu
Philippe Rigollet
70
10
0
10 Nov 2020
Coresets for Regressions with Panel Data
Coresets for Regressions with Panel Data
Lingxiao Huang
K. Sudhir
Nisheeth K. Vishnoi
66
13
0
02 Nov 2020
Model-specific Data Subsampling with Influence Functions
Model-specific Data Subsampling with Influence Functions
Anant Raj
Cameron Musco
Lester W. Mackey
Nicolò Fusi
TDI
29
1
0
20 Oct 2020
Coresets for Near-Convex Functions
Coresets for Near-Convex Functions
M. Tukan
Alaa Maalouf
Dan Feldman
90
43
0
09 Jun 2020
Sets Clustering
Sets Clustering
Ibrahim Jubran
M. Tukan
Alaa Maalouf
Dan Feldman
74
22
0
09 Mar 2020
The Effectiveness of Variational Autoencoders for Active Learning
The Effectiveness of Variational Autoencoders for Active Learning
Farhad Pourkamali-Anaraki
M. Wakin
DRL
53
4
0
18 Nov 2019
Importance Sampling via Local Sensitivity
Importance Sampling via Local Sensitivity
Anant Raj
Cameron Musco
Lester W. Mackey
98
6
0
04 Nov 2019
SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural
  Networks
SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks
Cenk Baykal
Lucas Liebenwein
Igor Gilitschenski
Dan Feldman
Daniela Rus
92
18
0
11 Oct 2019
Random Projections and Sampling Algorithms for Clustering of
  High-Dimensional Polygonal Curves
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves
Stefan Meintrup
Alexander Munteanu
Dennis Rohde
140
11
0
16 Jul 2019
Discrepancy, Coresets, and Sketches in Machine Learning
Discrepancy, Coresets, and Sketches in Machine Learning
Zohar Karnin
Edo Liberty
48
49
0
11 Jun 2019
On Coresets for Regularized Loss Minimization
On Coresets for Regularized Loss Minimization
Ryan R. Curtin
Sungjin Im
Benjamin Moseley
K. Pruhs
Alireza Samadian
56
11
0
26 May 2019
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
Elad Tolochinsky
Ibrahim Jubran
Dan Feldman
CLL
136
17
0
21 Feb 2018
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