ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1202.3505
  4. Cited By
Near-optimal Coresets For Least-Squares Regression

Near-optimal Coresets For Least-Squares Regression

16 February 2012
Christos Boutsidis
P. Drineas
M. Magdon-Ismail
ArXivPDFHTML

Papers citing "Near-optimal Coresets For Least-Squares Regression"

30 / 30 papers shown
Title
Accurate Coresets for Latent Variable Models and Regularized Regression
Accurate Coresets for Latent Variable Models and Regularized Regression
Sanskar Ranjan
Supratim Shit
42
0
0
31 Dec 2024
Supervised Kernel Thinning
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
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
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 $\ell_2$ Regression
Reduced Label Complexity For Tight ℓ2\ell_2ℓ2​ Regression
Alex Gittens
M. Magdon-Ismail
UQCV
22
0
0
12 May 2023
Coresets for Vertical Federated Learning: Regularized Linear Regression
  and $K$-Means Clustering
Coresets for Vertical Federated Learning: Regularized Linear Regression and KKK-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
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
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
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
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
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
Semi-supervised Active Regression
Fnu Devvrit
Nived Rajaraman
Pranjal Awasthi
19
0
0
12 Jun 2021
Coresets for Regressions with Panel Data
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
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
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
Robust approximate linear regression without correspondence
Amin Nejatbakhsh
E. Varol
17
5
0
01 Jun 2019
Robust Coreset Construction for Distributed Machine Learning
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
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
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
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
Active Regression via Linear-Sample Sparsification
Xue Chen
Eric Price
32
61
0
27 Nov 2017
Linear regression without correspondence
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
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
Practical Coreset Constructions for Machine Learning
Olivier Bachem
Mario Lucic
Andreas Krause
11
183
0
19 Mar 2017
Coresets for Kernel Regression
Coresets for Kernel Regression
Yan Zheng
J. M. Phillips
27
19
0
13 Feb 2017
Robust Partially-Compressed Least-Squares
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
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
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
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
DimmWitted: A Study of Main-Memory Statistical Analytics
Ce Zhang
Christopher Ré
36
145
0
28 Mar 2014
1