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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"

13 / 13 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
13
1
0
19 Feb 2023
Learning from Noisy Crowd Labels with Logics
Learning from Noisy Crowd Labels with Logics
Zhijun Chen
Hailong Sun
Haoqian He
Pengpeng Chen
NoLa
NAI
22
7
0
13 Feb 2023
Posterior Regularized Bayesian Neural Network Incorporating Soft and
  Hard Knowledge Constraints
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints
Jiayu Huang
Yutian Pang
Yongming Liu
Hao Yan
BDL
UQCV
17
15
0
16 Oct 2022
Posterior Regularization on Bayesian Hierarchical Mixture Clustering
Posterior Regularization on Bayesian Hierarchical Mixture Clustering
Weipéng Huáng
T. L. J. Ng
Nishma Laitonjam
N. Hurley
29
3
0
14 May 2021
Unlabelled Data Improves Bayesian Uncertainty Calibration under
  Covariate Shift
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
Alex J. Chan
Ahmed Alaa
Zhaozhi Qian
M. Schaar
UQCV
BDL
OOD
14
38
0
26 Jun 2020
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian
  Process: A New Insight into Machine Learning Applications
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
Yun Yuan
X. Yang
Zhao Zhang
Shandian Zhe
AI4CE
18
94
0
06 Feb 2020
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
153
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
38
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
31
70
0
09 Jun 2015
Online Bayesian Passive-Aggressive Learning
Online Bayesian Passive-Aggressive Learning
Tianlin Shi
Jun Zhu
58
38
0
12 Dec 2013
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
57
89
0
18 Jun 2012
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