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Learning the Structure of Generative Models without Labeled Data

Learning the Structure of Generative Models without Labeled Data

2 March 2017
Stephen H. Bach
Bryan D. He
Alexander Ratner
Christopher Ré
ArXivPDFHTML

Papers citing "Learning the Structure of Generative Models without Labeled Data"

10 / 10 papers shown
Title
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
86
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
82
28
0
21 Oct 2019
Data Programming: Creating Large Training Sets, Quickly
Data Programming: Creating Large Training Sets, Quickly
Alexander Ratner
Christopher De Sa
Sen Wu
Daniel Selsam
Christopher Ré
106
713
0
25 May 2016
Incremental Knowledge Base Construction Using DeepDive
Incremental Knowledge Base Construction Using DeepDive
Jaeho Shin
Sen Wu
Feiran Wang
Christopher De Sa
Ce Zhang
Christopher Ré
CLL
HAI
110
290
0
03 Feb 2015
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang
Xi Chen
Dengyong Zhou
Michael I. Jordan
FedML
43
386
0
15 Jun 2014
DimmWitted: A Study of Main-Memory Statistical Analytics
DimmWitted: A Study of Main-Memory Statistical Analytics
Ce Zhang
Christopher Ré
105
145
0
28 Mar 2014
Ranking and combining multiple predictors without labeled data
Ranking and combining multiple predictors without labeled data
Fabio Parisi
Francesco Strino
B. Nadler
Y. Kluger
46
135
0
13 Mar 2013
High-dimensional Ising model selection using ${\ell_1}$-regularized
  logistic regression
High-dimensional Ising model selection using ℓ1{\ell_1}ℓ1​-regularized logistic regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
158
957
0
02 Oct 2010
Latent variable graphical model selection via convex optimization
Latent variable graphical model selection via convex optimization
V. Chandrasekaran
P. Parrilo
A. Willsky
CML
144
509
0
06 Aug 2010
Sparse Online Learning via Truncated Gradient
Sparse Online Learning via Truncated Gradient
John Langford
Lihong Li
Tong Zhang
94
486
0
28 Jun 2008
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