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Statistical and Computational Guarantees of Lloyd's Algorithm and its
  Variants

Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants

7 December 2016
Yu Lu
Harrison H. Zhou
ArXivPDFHTML

Papers citing "Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants"

21 / 21 papers shown
Title
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
Guillaume Braun
Masashi Sugiyama
35
0
0
29 Feb 2024
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering
  Error in Sub-Exponential Mixture Models
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
Maximilien Dreveton
Alperen Gozeten
Matthias Grossglauser
Patrick Thiran
24
0
0
23 Feb 2024
Adversarially robust clustering with optimality guarantees
Adversarially robust clustering with optimality guarantees
Soham Jana
Kun Yang
Sanjeev R. Kulkarni
AAML
28
2
0
16 Jun 2023
Fundamental Limits of Spectral Clustering in Stochastic Block Models
Fundamental Limits of Spectral Clustering in Stochastic Block Models
An Zhang
41
4
0
23 Jan 2023
An Improved Algorithm for Clustered Federated Learning
An Improved Algorithm for Clustered Federated Learning
Harsh Vardhan
A. Ghosh
A. Mazumdar
FedML
34
8
0
20 Oct 2022
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous
  Data
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data
Yubo Zhuang
Xiaohui Chen
Yun Yang
26
1
0
29 Sep 2022
Wasserstein $K$-means for clustering probability distributions
Wasserstein KKK-means for clustering probability distributions
Yubo Zhuang
Xiaohui Chen
Yun Yang
23
23
0
14 Sep 2022
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model
Zhongyuan Lyu
Dong Xia
29
3
0
11 Jul 2022
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power
  Method
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power Method
Guillaume Braun
Hemant Tyagi
25
5
0
24 May 2022
Selective inference for k-means clustering
Selective inference for k-means clustering
Yiqun T. Chen
Daniela Witten
25
43
0
29 Mar 2022
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
Jiaxin Hu
Miaoyan Wang
23
4
0
19 Jan 2022
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Ilias Zadik
M. Song
Alexander S. Wein
Joan Bruna
17
35
0
07 Dec 2021
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Krishnakumar Balasubramanian
22
12
0
18 May 2021
Optimal Clustering in Anisotropic Gaussian Mixture Models
Optimal Clustering in Anisotropic Gaussian Mixture Models
Xin Chen
A. Zhang
16
9
0
14 Jan 2021
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
40
165
0
15 Dec 2020
Computationally efficient sparse clustering
Computationally efficient sparse clustering
Matthias Löffler
Alexander S. Wein
Afonso S. Bandeira
33
14
0
21 May 2020
Diffusion $K$-means clustering on manifolds: provable exact recovery via
  semidefinite relaxations
Diffusion KKK-means clustering on manifolds: provable exact recovery via semidefinite relaxations
Xiaohui Chen
Yun Yang
24
16
0
11 Mar 2019
Statistical Convergence of the EM Algorithm on Gaussian Mixture Models
Statistical Convergence of the EM Algorithm on Gaussian Mixture Models
Ruofei Zhao
Yuanzhi Li
Yuekai Sun
14
46
0
09 Oct 2018
Pairwise Covariates-adjusted Block Model for Community Detection
Pairwise Covariates-adjusted Block Model for Community Detection
Sihan Huang
Jiajin Sun
Yang Feng
17
24
0
10 Jul 2018
Quantization/clustering: when and why does k-means work?
Quantization/clustering: when and why does k-means work?
Clément Levrard
MQ
19
20
0
11 Jan 2018
When Do Birds of a Feather Flock Together? k-Means, Proximity, and Conic
  Programming
When Do Birds of a Feather Flock Together? k-Means, Proximity, and Conic Programming
Xiaodong Li
Yang Li
Shuyang Ling
Thomas Strohmer
Ke Wei
19
36
0
16 Oct 2017
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