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Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing

Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing

15 June 2014
Yuchen Zhang
Xi Chen
Dengyong Zhou
Michael I. Jordan
    FedML
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Papers citing "Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing"

7 / 7 papers shown
Title
The Majority Vote Paradigm Shift: When Popular Meets Optimal
The Majority Vote Paradigm Shift: When Popular Meets Optimal
Antonio Purificato
Maria Sofia Bucarelli
Anil Kumar Nelakanti
Andrea Bacciu
Fabrizio Silvestri
Amin Mantrach
94
0
0
18 Feb 2025
ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling
ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling
R. Joyce
Derek Everett
Maya Fuchs
Edward Raff
James Holt
63
0
0
04 Feb 2025
An Adaptive Method for Weak Supervision with Drifting Data
An Adaptive Method for Weak Supervision with Drifting Data
Alessio Mazzetto
Reza Esfandiarpoor
E. Upfal
Stephen H. Bach
Stephen H. Bach
89
1
0
02 Jun 2023
Multi-Resolution Weak Supervision for Sequential Data
Multi-Resolution Weak Supervision for Sequential Data
Frederic Sala
P. Varma
Jason Alan Fries
Daniel Y. Fu
Shiori Sagawa
...
A. Ramamoorthy
K. Xiao
Kayvon Fatahalian
J. Priest
Christopher Ré
NoLa
101
29
0
21 Oct 2019
Minimax Optimal Convergence Rates for Estimating Ground Truth from
  Crowdsourced Labels
Minimax Optimal Convergence Rates for Estimating Ground Truth from Crowdsourced Labels
Chao Gao
Dengyong Zhou
45
71
0
22 Oct 2013
Tensor decompositions for learning latent variable models
Tensor decompositions for learning latent variable models
Anima Anandkumar
Rong Ge
Daniel J. Hsu
Sham Kakade
Matus Telgarsky
273
1,142
0
29 Oct 2012
A Spectral Algorithm for Latent Dirichlet Allocation
A Spectral Algorithm for Latent Dirichlet Allocation
Anima Anandkumar
Dean Phillips Foster
Daniel J. Hsu
Sham Kakade
Yi-Kai Liu
135
300
0
30 Apr 2012
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