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

Benjamin Cohen-Wang

Stephen Mussmann

Christopher Ré

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

17 / 17 papers shown

Title
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods Daniel Y. Fu Mayee F. Chen Frederic Sala Sarah Hooper Kayvon Fatahalian Christopher Ré OffRL 90 117 0 27 Feb 2020
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks Zitong Yang Yaodong Yu Chong You Jacob Steinhardt Yi-An Ma 69 185 0 26 Feb 2020
Data Shapley: Equitable Valuation of Data for Machine Learning Amirata Ghorbani James Zou TDI FedML 76 789 0 05 Apr 2019
Learning Dependency Structures for Weak Supervision Models P. Varma Frederic Sala A. He Alexander Ratner Christopher Ré NoLa 84 67 0 14 Mar 2019
Towards Efficient Data Valuation Based on the Shapley Value R. Jia David Dao Wei Ping F. Hubis Nicholas Hynes Nezihe Merve Gürel Yue Liu Ce Zhang Basel Alomair C. Spanos TDI 75 421 0 27 Feb 2019
Training Complex Models with Multi-Task Weak Supervision Alexander Ratner Braden Hancock Jared A. Dunnmon Frederic Sala Shreyash Pandey Christopher Ré 53 213 0 05 Oct 2018
Learning the Structure of Generative Models without Labeled Data Stephen H. Bach Bryan D. He Alexander Ratner Christopher Ré 65 166 0 02 Mar 2017
Data Programming: Creating Large Training Sets, Quickly Alexander Ratner Christopher De Sa Sen Wu Daniel Selsam Christopher Ré 197 718 0 25 May 2016
On model misspecification and KL separation for Gaussian graphical models Varun Jog Po-Ling Loh 66 15 0 10 Jan 2015
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 86 268 0 11 Dec 2014
Learning Latent Variable Gaussian Graphical Models Zhaoshi Meng Brian Eriksson Alfred Hero 274 41 0 10 Jun 2014
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses Po-Ling Loh Martin J. Wainwright 83 180 0 03 Dec 2012
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 443 1,147 0 29 Oct 2012
Identifiability and Unmixing of Latent Parse Trees Daniel J. Hsu Sham Kakade Percy Liang 149 38 0 14 Jun 2012
A Method of Moments for Mixture Models and Hidden Markov Models Anima Anandkumar Daniel J. Hsu Sham Kakade 190 344 0 03 Mar 2012
Latent variable graphical model selection via convex optimization V. Chandrasekaran P. Parrilo A. Willsky CML 207 509 0 06 Aug 2010
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 249 873 0 21 Nov 2008

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