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Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments
  Latent Variable Estimation

Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation

3 March 2021
Mayee F. Chen
Benjamin Cohen-Wang
Stephen Mussmann
Frederic Sala
Christopher Ré
ArXivPDFHTML

Papers citing "Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation"

4 / 4 papers shown
Title
Losses over Labels: Weakly Supervised Learning via Direct Loss
  Construction
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction
Dylan Sam
J. Zico Kolter
NoLa
OffRL
37
13
0
13 Dec 2022
Data Consistency for Weakly Supervised Learning
Data Consistency for Weakly Supervised Learning
Chidubem Arachie
Bert Huang
NoLa
24
2
0
08 Feb 2022
Universalizing Weak Supervision
Universalizing Weak Supervision
Changho Shin
Winfred Li
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
19
30
0
07 Dec 2021
End-to-End Weak Supervision
End-to-End Weak Supervision
Salva Rühling Cachay
Benedikt Boecking
A. Dubrawski
NoLa
33
40
0
05 Jul 2021
1