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1202.3505
Cited By
Near-optimal Coresets For Least-Squares Regression
16 February 2012
Christos Boutsidis
P. Drineas
M. Magdon-Ismail
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Papers citing
"Near-optimal Coresets For Least-Squares Regression"
30 / 30 papers shown
Title
Accurate Coresets for Latent Variable Models and Regularized Regression
Sanskar Ranjan
Supratim Shit
42
0
0
31 Dec 2024
Supervised Kernel Thinning
Albert Gong
Kyuseong Choi
Raaz Dwivedi
31
0
0
17 Oct 2024
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks
Eeshaan Jain
Tushar Nandy
Gaurav Aggarwal
Ashish Tendulkar
Rishabh K. Iyer
A. De
46
11
0
18 Sep 2024
Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis
Xiangyi Chen
Zhao Song
Baochen Sun
Junze Yin
Danyang Zhuo
42
3
0
06 Jun 2023
Reduced Label Complexity For Tight
ℓ
2
\ell_2
ℓ
2
Regression
Alex Gittens
M. Magdon-Ismail
UQCV
22
0
0
12 May 2023
Coresets for Vertical Federated Learning: Regularized Linear Regression and
K
K
K
-Means Clustering
Lingxiao Huang
Zhize Li
Jialin Sun
Haoyu Zhao
FedML
44
9
0
26 Oct 2022
Dynamic Selection of Perception Models for Robotic Control
Bineet Ghosh
Masaad Khan
Adithya S Ashok
Sandeep Chinchali
Parasara Sridhar Duggirala
43
1
0
13 Jul 2022
Joint Coreset Construction and Quantization for Distributed Machine Learning
Hanlin Lu
Changchang Liu
Shiqiang Wang
T. He
Vijay Narayanan
Kevin S. Chan
Stephen Pasteris
8
2
0
13 Apr 2022
Towards Optimal Lower Bounds for k-median and k-means Coresets
Vincent Cohen-Addad
Kasper Green Larsen
David Saulpic
Chris Schwiegelshohn
24
50
0
25 Feb 2022
Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency
Bineet Ghosh
Sandeep Chinchali
Parasara Sridhar Duggirala
26
3
0
03 Aug 2021
Training Data Subset Selection for Regression with Controlled Generalization Error
D. Sivasubramanian
Rishabh K. Iyer
Ganesh Ramakrishnan
A. De
13
21
0
23 Jun 2021
Semi-supervised Active Regression
Fnu Devvrit
Nived Rajaraman
Pranjal Awasthi
19
0
0
12 Jun 2021
Coresets for Regressions with Panel Data
Lingxiao Huang
K. Sudhir
Nisheeth K. Vishnoi
32
13
0
02 Nov 2020
Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms
Pietro Barbiero
Giovanni Squillero
Alberto Tonda
8
3
0
20 Feb 2020
Coresets for Gaussian Mixture Models of Any Shape
Dan Feldman
Zahi Kfir
Xuan Wu
18
11
0
12 Jun 2019
Robust approximate linear regression without correspondence
Amin Nejatbakhsh
E. Varol
17
5
0
01 Jun 2019
Robust Coreset Construction for Distributed Machine Learning
Hanlin Lu
Ming-Ju Li
T. He
Shiqiang Wang
Vijay Narayanan
Kevin S. Chan
OOD
19
25
0
11 Apr 2019
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression
Michal Derezinski
K. Clarkson
Michael W. Mahoney
Manfred K. Warmuth
8
24
0
04 Feb 2019
Reverse iterative volume sampling for linear regression
Michal Derezinski
Manfred K. Warmuth
49
43
0
06 Jun 2018
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
Elad Tolochinsky
Ibrahim Jubran
Dan Feldman
CLL
75
16
0
21 Feb 2018
Active Regression via Linear-Sample Sparsification
Xue Chen
Eric Price
32
61
0
27 Nov 2017
Linear regression without correspondence
Daniel J. Hsu
K. Shi
Xiaorui Sun
29
82
0
19 May 2017
Unbiased estimates for linear regression via volume sampling
Michal Derezinski
Manfred K. Warmuth
29
50
0
19 May 2017
Practical Coreset Constructions for Machine Learning
Olivier Bachem
Mario Lucic
Andreas Krause
11
183
0
19 Mar 2017
Coresets for Kernel Regression
Yan Zheng
J. M. Phillips
27
19
0
13 Feb 2017
Robust Partially-Compressed Least-Squares
Stephen Becker
B. Kawas
Marek Petrik
Karthikeyan N. Ramamurthy
8
5
0
16 Oct 2015
Random projections for Bayesian regression
Leo N. Geppert
K. Ickstadt
Alexander Munteanu
Jens Quedenfeld
C. Sohler
30
45
0
23 Apr 2015
Feature Selection for Linear SVM with Provable Guarantees
Saurabh Paul
M. Magdon-Ismail
P. Drineas
43
61
0
01 Jun 2014
Randomized Sketches of Convex Programs with Sharp Guarantees
Mert Pilanci
Martin J. Wainwright
43
175
0
29 Apr 2014
DimmWitted: A Study of Main-Memory Statistical Analytics
Ce Zhang
Christopher Ré
36
145
0
28 Mar 2014
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