arXiv: math.PRESTIMATING HETEROGENEOUS GRAPHICAL MODELS FOR DISCRETE DATA WITH AN APPLICATION TO ROLL CALL VOTING By Jian Guo, Elizaveta Levina, George Michailidis and Ji Zhu

Source URL: dept.stat.lsa.umich.edu

arXiv:1412.0315v1 [cs.AI] 1 DecLifted Probabilistic Inference for Asymmetric Graphical Models Guy Van den Broeck Mathias Niepert

Source URL: arxiv.org

Tree Block Coordinate Descent for MAP in Graphical Models David Sontag Tommi Jaakkola Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology

Source URL: cs.nyu.edu

A Probabilistic Approach to Knowledge Translation Shangpu Jiang and Daniel Lowd and Dejing Dou arXiv:1507.03181v1 [cs.AI] 12 JulComputer and Information Science

Source URL: arxiv.org

• Statistics
• Data management
• Statistical models
• Data
• Information
• Bayesian statistics
• Graphical models
• Computational statistics
• Schema matching
• Markov logic network
• Database schema
• Bayesian network

AN INTRODUCTION TO GRAPHICAL MODELS Michael I. Jordan Center for Biological and Computational Learning Massachusetts Institute of Technology

Source URL: www.cis.upenn.edu

FUNDAMENTALS OF STATISTICAL CAUSALITY c A. P. Dawid 2007 RSS/EPSRC Graduate Training Programme University of Sheffield 3–7 September 2007

Source URL: www.ucl.ac.uk

• Causal inference
• Regression analysis
• Philosophy
• Probability and statistics
• Statistics
• Estimation theory
• Design of experiments
• Graphical models
• Causality
• Confounding
• Instrumental variable
• Correlation and dependence

A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models Brendan J. Frey and Nebojsa Jojic Abstract Computer vision is currently one of the most exciting areas of artificial intelligence re

Source URL: www.isit2004.org

• Statistics
• Statistical models
• Probability
• Graphical models
• Machine learning
• Statistical theory
• Bayesian statistics
• Markov random field
• Bayesian network
• Generative model
• Factor graph
• Discriminative model

In: (Wright, J., ed.) International Encyclopedia of the Social and Behavioral Sciences, 2nd ed., 10, Elesevier, Oxford, 341–350; also available on arXiv1407.7783 Graphical Markov Models: Overview Nanny Wermuth* and D.R

Source URL: www.math.chalmers.se

Machine Learning Summer School Lecture 1: Introduction to Graphical Models Zoubin Ghahramani

Source URL: mlg.eng.cam.ac.uk

Learning the structure of deep sparse directed graphical models Ryan P. Adams1 , Hanna M. Wallach2 , and Zoubin Ghahramani3 1 University of Toronto

Source URL: mlg.eng.cam.ac.uk