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Sharp optimal recovery in the two-component Gaussian Mixture Model
v1v2v3 (latest)

Sharp optimal recovery in the two-component Gaussian Mixture Model

19 December 2018
M. Ndaoud
ArXiv (abs)PDFHTML

Papers citing "Sharp optimal recovery in the two-component Gaussian Mixture Model"

22 / 22 papers shown
Statistical-computational gap in multiple Gaussian graph alignment
Statistical-computational gap in multiple Gaussian graph alignment
Bertrand Even
Luca Ganassali
88
0
0
29 Nov 2025
Active clustering with bandit feedback
Active clustering with bandit feedback
Victor Thuot
Alexandra Carpentier
Christophe Giraud
Nicolas Verzélen
305
9
0
17 Jun 2024
Semidefinite programming on population clustering: a local analysis
Semidefinite programming on population clustering: a local analysis
Shuheng Zhou
351
0
0
23 Nov 2023
Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic
  Block Model
Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block ModelNeural Information Processing Systems (NeurIPS), 2023
Maximilien Dreveton
F. S. Fernandes
D. R. Figueiredo
291
14
0
30 Oct 2023
Spectral clustering in the Gaussian mixture block model
Spectral clustering in the Gaussian mixture block model
Shuangping Li
T. Schramm
382
12
0
29 Apr 2023
Sharp-SSL: Selective high-dimensional axis-aligned random projections
  for semi-supervised learning
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learningJournal of the American Statistical Association (JASA), 2023
Tengyao Wang
Guang Cheng
M. Gataric
R. Samworth
294
1
0
18 Apr 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in
  heteroskedastic PCA
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCAAnnals of Statistics (Ann. Stat.), 2023
Yuchen Zhou
Yuxin Chen
373
11
0
10 Mar 2023
Semidefinite programming on population clustering: a global analysis
Semidefinite programming on population clustering: a global analysis
Shuheng Zhou
367
1
0
01 Jan 2023
Leave-one-out Singular Subspace Perturbation Analysis for Spectral
  Clustering
Leave-one-out Singular Subspace Perturbation Analysis for Spectral ClusteringAnnals of Statistics (Ann. Stat.), 2022
A. Zhang
Harrison H. Zhou
261
25
0
30 May 2022
Subspace clustering in high-dimensions: Phase transitions &
  Statistical-to-Computational gap
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gapNeural Information Processing Systems (NeurIPS), 2022
Luca Pesce
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
405
4
0
26 May 2022
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power
  Method
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power MethodInformation and Inference A Journal of the IMA (JIII), 2022
Guillaume Braun
Hemant Tyagi
367
6
0
24 May 2022
Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model:
  A new take on Robust Interpolation
Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation
Stanislav Minsker
M. Ndaoud
Yiqiu Shen
293
6
0
13 Nov 2021
Optimal Clustering in Anisotropic Gaussian Mixture Models
Optimal Clustering in Anisotropic Gaussian Mixture Models
Xin Chen
A. Zhang
355
10
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
699
217
0
15 Dec 2020
Phase transitions for support recovery under local differential privacy
Phase transitions for support recovery under local differential privacyMathematical Statistics and Learning (MSL), 2020
C. Butucea
A. Dubois
Adrien Saumard
FedML
490
3
0
30 Nov 2020
Computationally efficient sparse clustering
Computationally efficient sparse clustering
Matthias Löffler
Alexander S. Wein
Afonso S. Bandeira
381
18
0
21 May 2020
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
Efficient Clustering for Stretched Mixtures: Landscape and OptimalityNeural Information Processing Systems (NeurIPS), 2020
Kaizheng Wang
Yuling Yan
Mateo Díaz
355
14
0
22 Mar 2020
Bias-adjusted spectral clustering in multi-layer stochastic block models
Bias-adjusted spectral clustering in multi-layer stochastic block modelsJournal of the American Statistical Association (JASA), 2020
Jing Lei
K. Lin
438
70
0
18 Mar 2020
Improved clustering algorithms for the Bipartite Stochastic Block Model
Improved clustering algorithms for the Bipartite Stochastic Block ModelIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
M. Ndaoud
Suzanne Sigalla
Alexandre B. Tsybakov
367
20
0
18 Nov 2019
Iterative Algorithm for Discrete Structure Recovery
Iterative Algorithm for Discrete Structure RecoveryAnnals of Statistics (Ann. Stat.), 2019
Chao Gao
A. Zhang
1.1K
36
0
04 Nov 2019
Optimality of Spectral Clustering in the Gaussian Mixture Model
Optimality of Spectral Clustering in the Gaussian Mixture ModelAnnals of Statistics (Ann. Stat.), 2019
Matthias Löffler
A. Zhang
Harrison H. Zhou
374
108
0
01 Nov 2019
Randomly initialized EM algorithm for two-component Gaussian mixture
  achieves near optimality in $O(\sqrt{n})$ iterations
Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in O(n)O(\sqrt{n})O(n​) iterationsMathematical Statistics and Learning (MSL), 2019
Yihong Wu
Harrison H. Zhou
434
48
0
28 Aug 2019
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