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Clustering under Perturbation Resilience
v1v2v3v4v5 (latest)

Clustering under Perturbation Resilience

5 December 2011
Maria-Florina Balcan
Yingyu Liang
    OOD
ArXiv (abs)PDFHTML

Papers citing "Clustering under Perturbation Resilience"

30 / 30 papers shown
Title
Scalable Algorithms for Individual Preference Stable Clustering
Scalable Algorithms for Individual Preference Stable Clustering
Ron Mosenzon
A. Vakilian
80
3
0
15 Mar 2024
Sublinear Time Algorithms for Several Geometric Optimization (With
  Outliers) Problems In Machine Learning
Sublinear Time Algorithms for Several Geometric Optimization (With Outliers) Problems In Machine Learning
Hu Ding
135
0
0
07 Jan 2023
Individual Preference Stability for Clustering
Individual Preference Stability for Clustering
Saba Ahmadi
Pranjal Awasthi
Samir Khuller
Matthäus Kleindessner
Jamie Morgenstern
Pattara Sukprasert
A. Vakilian
103
10
0
07 Jul 2022
Towards Continuous Consistency Axiom
Towards Continuous Consistency Axiom
M. Klopotek
R. A. Klopotek
56
5
0
12 Feb 2022
Differentially Private Algorithms for Clustering with Stability
  Assumptions
Differentially Private Algorithms for Clustering with Stability Assumptions
M. Shechner
63
2
0
11 Jun 2021
Selecting the Number of Clusters $K$ with a Stability Trade-off: an
  Internal Validation Criterion
Selecting the Number of Clusters KKK with a Stability Trade-off: an Internal Validation Criterion
Alex Mourer
Florent Forest
M. Lebbah
Hanane Azzag
J. Lacaille
18
7
0
15 Jun 2020
A Relational Gradient Descent Algorithm For Support Vector Machine
  Training
A Relational Gradient Descent Algorithm For Support Vector Machine Training
Mahmoud Abo Khamis
Sungjin Im
Benjamin Moseley
K. Pruhs
Alireza Samadian
15
4
0
11 May 2020
Analysis of Ward's Method
Analysis of Ward's Method
A. Großwendt
Heiko Röglin
Melanie Schmidt
35
23
0
11 Jul 2019
Learning to Link
Learning to Link
Maria-Florina Balcan
Travis Dick
Manuel Lang
77
25
0
01 Jul 2019
Semi-bandit Optimization in the Dispersed Setting
Semi-bandit Optimization in the Dispersed Setting
Maria-Florina Balcan
Travis Dick
W. Pegden
38
21
0
18 Apr 2019
Minimum Enclosing Ball Revisited: Stability and Sub-linear Time
  Algorithms
Minimum Enclosing Ball Revisited: Stability and Sub-linear Time Algorithms
Hu Ding
18
3
0
08 Apr 2019
Block Stability for MAP Inference
Block Stability for MAP Inference
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
51
6
0
12 Oct 2018
On Euclidean $k$-Means Clustering with $α$-Center Proximity
On Euclidean kkk-Means Clustering with ααα-Center Proximity
Amit Deshpande
Anand Louis
A. Singh
28
4
0
28 Apr 2018
Clustering Stable Instances of Euclidean k-means
Clustering Stable Instances of Euclidean k-means
Abhratanu Dutta
Aravindan Vijayaraghavan
Alex L. Wang
26
23
0
04 Dec 2017
Provably noise-robust, regularised $k$-means clustering
Provably noise-robust, regularised kkk-means clustering
Shrinu Kushagra
Yaoliang Yu
Shai Ben-David
70
3
0
30 Nov 2017
Relaxed Oracles for Semi-Supervised Clustering
Relaxed Oracles for Semi-Supervised Clustering
Taewan Kim
Joydeep Ghosh
43
7
0
20 Nov 2017
Optimality of Approximate Inference Algorithms on Stable Instances
Optimality of Approximate Inference Algorithms on Stable Instances
Hunter Lang
David Sontag
Aravindan Vijayaraghavan
TPM
59
1
0
06 Nov 2017
Semi-Supervised Active Clustering with Weak Oracles
Semi-Supervised Active Clustering with Weak Oracles
Taewan Kim
Joydeep Ghosh
13
8
0
11 Sep 2017
Clustering under Local Stability: Bridging the Gap between Worst-Case
  and Beyond Worst-Case Analysis
Clustering under Local Stability: Bridging the Gap between Worst-Case and Beyond Worst-Case Analysis
Maria-Florina Balcan
Colin White
33
7
0
19 May 2017
Hierarchical Clustering: Objective Functions and Algorithms
Hierarchical Clustering: Objective Functions and Algorithms
Vincent Cohen-Addad
Varun Kanade
Frederik Mallmann-Trenn
Claire Mathieu
78
526
0
07 Apr 2017
Machine Learning Friendly Set Version of Johnson-Lindenstrauss Lemma
Machine Learning Friendly Set Version of Johnson-Lindenstrauss Lemma
M. Klopotek
132
2
0
04 Mar 2017
Robust Communication-Optimal Distributed Clustering Algorithms
Robust Communication-Optimal Distributed Clustering Algorithms
Pranjal Awasthi
Ainesh Bakshi
Maria-Florina Balcan
Colin White
David Woodruff
49
9
0
02 Mar 2017
On the Local Structure of Stable Clustering Instances
On the Local Structure of Stable Clustering Instances
Vincent Cohen-Addad
Chris Schwiegelshohn
201
49
0
29 Jan 2017
Learning-Theoretic Foundations of Algorithm Configuration for
  Combinatorial Partitioning Problems
Learning-Theoretic Foundations of Algorithm Configuration for Combinatorial Partitioning Problems
Maria-Florina Balcan
Vaishnavh Nagarajan
Ellen Vitercik
Colin White
68
61
0
14 Nov 2016
Clustering with Same-Cluster Queries
Clustering with Same-Cluster Queries
H. Ashtiani
Shrinu Kushagra
Shai Ben-David
79
98
0
08 Jun 2016
Clustering is Easy When ....What?
Clustering is Easy When ....What?
Shai Ben-David
28
6
0
19 Oct 2015
$k$-center Clustering under Perturbation Resilience
kkk-center Clustering under Perturbation Resilience
Maria-Florina Balcan
Nika Haghtalab
Colin White
OOD
103
50
0
14 May 2015
Computational Feasibility of Clustering under Clusterability Assumptions
Computational Feasibility of Clustering under Clusterability Assumptions
Shai Ben-David
65
37
0
02 Jan 2015
Relax, no need to round: integrality of clustering formulations
Relax, no need to round: integrality of clustering formulations
Pranjal Awasthi
Afonso S. Bandeira
Moses Charikar
Ravishankar Krishnaswamy
Soledad Villar
Rachel A. Ward
162
114
0
18 Aug 2014
Data Stability in Clustering: A Closer Look
Data Stability in Clustering: A Closer Look
S. Ben-David
L. Reyzin
OOD
98
36
0
12 Jul 2011
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