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Exponential error rates of SDP for block models: Beyond Grothendieck's
  inequality

Exponential error rates of SDP for block models: Beyond Grothendieck's inequality

23 May 2017
Yingjie Fei
Yudong Chen
ArXiv (abs)PDFHTML

Papers citing "Exponential error rates of SDP for block models: Beyond Grothendieck's inequality"

19 / 19 papers shown
Title
Multi-Frequency Joint Community Detection and Phase Synchronization
Multi-Frequency Joint Community Detection and Phase Synchronization
Lingda Wang
Zhizhen Zhao
61
3
0
16 Jun 2022
Cascaded Gaps: Towards Gap-Dependent Regret for Risk-Sensitive
  Reinforcement Learning
Cascaded Gaps: Towards Gap-Dependent Regret for Risk-Sensitive Reinforcement Learning
Yingjie Fei
Ruitu Xu
67
5
0
07 Mar 2022
A Worker-Task Specialization Model for Crowdsourcing: Efficient
  Inference and Fundamental Limits
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits
Doyeon Kim
Jeonghwa Lee
Hye Won Chung
90
3
0
19 Nov 2021
Multiple Descent: Design Your Own Generalization Curve
Multiple Descent: Design Your Own Generalization Curve
Lin Chen
Yifei Min
M. Belkin
Amin Karbasi
DRL
160
61
0
03 Aug 2020
Reliable Time Prediction in the Markov Stochastic Block Model
Reliable Time Prediction in the Markov Stochastic Block Model
Quentin Duchemin
19
2
0
09 Apr 2020
Learning with Semi-Definite Programming: new statistical bounds based on
  fixed point analysis and excess risk curvature
Learning with Semi-Definite Programming: new statistical bounds based on fixed point analysis and excess risk curvature
Stéphane Chrétien
Ning Zhang
Guillaume Lecué
Lucie Neirac
13
5
0
04 Apr 2020
Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE
Robust Hypergraph Clustering via Convex Relaxation of Truncated MLE
Jeonghwa Lee
Daesung Kim
Hye Won Chung
75
14
0
23 Mar 2020
Crowdsourced Labeling for Worker-Task Specialization Model
Crowdsourced Labeling for Worker-Task Specialization Model
Doyeon Kim
Hye Won Chung
FedML
22
1
0
21 Mar 2020
On the optimality of kernels for high-dimensional clustering
On the optimality of kernels for high-dimensional clustering
L. C. Vankadara
Debarghya Ghoshdastidar
70
11
0
01 Dec 2019
Iterative Algorithm for Discrete Structure Recovery
Iterative Algorithm for Discrete Structure Recovery
Chao Gao
A. Zhang
498
31
0
04 Nov 2019
Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for
  Symmetric Random Matrices
Unified ℓ2→∞\ell_{2\rightarrow\infty}ℓ2→∞​ Eigenspace Perturbation Theory for Symmetric Random Matrices
Lihua Lei
56
9
0
11 Sep 2019
Pair-Matching: Links Prediction with Adaptive Queries
Pair-Matching: Links Prediction with Adaptive Queries
Christophe Giraud
Yann Issartel
Luc Lehéricy
M. Lerasle
25
2
0
17 May 2019
Achieving the Bayes Error Rate in Synchronization and Block Models by
  SDP, Robustly
Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly
Yingjie Fei
Yudong Chen
271
24
0
21 Apr 2019
Minimax Rates in Network Analysis: Graphon Estimation, Community
  Detection and Hypothesis Testing
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing
Chao Gao
Zongming Ma
370
35
0
14 Nov 2018
Convex Relaxation Methods for Community Detection
Convex Relaxation Methods for Community Detection
Xiaodong Li
Yudong Chen
Jiaming Xu
131
51
0
30 Sep 2018
Partial recovery bounds for clustering with the relaxed $K$means
Partial recovery bounds for clustering with the relaxed KKKmeans
Christophe Giraud
Nicolas Verzélen
256
60
0
19 Jul 2018
Hidden Integrality and Semi-random Robustness of SDP Relaxation for
  Sub-Gaussian Mixture Model
Hidden Integrality and Semi-random Robustness of SDP Relaxation for Sub-Gaussian Mixture Model
Yingjie Fei
Yudong Chen
36
4
0
17 Mar 2018
Theoretical and Computational Guarantees of Mean Field Variational
  Inference for Community Detection
Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection
A. Zhang
Harrison H. Zhou
269
67
0
30 Oct 2017
Adaptive Clustering through Semidefinite Programming
Adaptive Clustering through Semidefinite Programming
Martin Royer
114
30
0
18 May 2017
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