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Bayesian Inference with Posterior Regularization and applications to
  Infinite Latent SVMs

Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs

5 October 2012
Jun Zhu
Ning Chen
Eric P. Xing
    BDL
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Papers citing "Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs"

7 / 7 papers shown
Title
Mixed Semi-Supervised Generalized-Linear-Regression with applications to
  Deep-Learning and Interpolators
Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep-Learning and Interpolators
Yuval Oren
Saharon Rosset
8
1
0
19 Feb 2023
Generating More Interesting Responses in Neural Conversation Models with
  Distributional Constraints
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
Ashutosh Baheti
Alan Ritter
Jiwei Li
W. Dolan
23
90
0
04 Sep 2018
Strategies and Principles of Distributed Machine Learning on Big Data
Strategies and Principles of Distributed Machine Learning on Big Data
Eric P. Xing
Qirong Ho
P. Xie
Wei-Ming Dai
AI4CE
14
151
0
31 Dec 2015
Variable-state Latent Conditional Random Fields for Facial Expression
  Recognition and Action Unit Detection
Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection
R. Walecki
Ognjen Rudovic
Vladimir Pavlovic
M. Pantic
BDL
30
74
0
13 Oct 2015
Provable Bayesian Inference via Particle Mirror Descent
Provable Bayesian Inference via Particle Mirror Descent
Bo Dai
Niao He
H. Dai
Le Song
23
70
0
09 Jun 2015
Discriminative Relational Topic Models
Discriminative Relational Topic Models
Ning Chen
Jun Zhu
Fei Xia
Bo Zhang
43
34
0
09 Oct 2013
Max-Margin Nonparametric Latent Feature Models for Link Prediction
Max-Margin Nonparametric Latent Feature Models for Link Prediction
Jun Zhu
44
89
0
18 Jun 2012
1