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Zhu, Jun - Machine Learning Department, Carnegie Mellon University
2D Conditional Random Fields for Web Information Extraction JUN-ZHU@MAILS.TSINGHUA.EDU.CN
StatSnowball: a Statistical Approach to Extracting Entity Relationships
Efficient Relational Learning with Hidden Variable Detection
MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification
Simultaneous Record Detection and Attribute Labeling in Web Data Extraction
Dynamic Hierarchical Markov Random Fields and their Application to Web Data Extraction
Adaptive Multi-Task Lasso: with Application to eQTL Detection
Primal Sparse Max-Margin Markov Networks Eric P. Xing
User Grouping Behavior in Online Forums Xiaolin Shi
Grafting-Light: Fast, Incremental Feature Selection and Structure Learning of Markov Random Fields
On Primal and Dual Sparsity of Markov Networks jun-zhu@mails.tsinghua.edu.cn
Conditional Topical Coding: an Efficient Topic Model Conditioned on Rich Features
In this section, we provide the proof of Proposition 1 as well as more details on the algorithm comparison be-
Sparse Topical Coding Jun Zhu, Eric P. Xing
