Uncertainty in Artificial Intelligence
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Thomas S. Richardson
Philosophy Department
Carnegie Mellon
Contact Information
Email : tsr+@andrew.cmu.edu
Mailing Address
Pittsburgh,  PA  15213
USA
Publications in UAI

UAI-2013
:: Sparse Nested Markov models with Log-linear Parameters

UAI-2012
:: Nested Markov Properties for Acyclic Directed Mixed Graphs

UAI-2011
:: An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models
:: Learning high-dimensional DAGs with latent and selection variables

UAI-2010
:: Maximum likelihood fitting of acyclic directed mixed graphs to binary data

UAI-2009
:: A factorization criterion for acyclic directed mixed graphs

UAI-2005
:: Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables

UAI-2004
:: Iterative Conditional Fitting for Gaussian Ancestral Graph Models

UAI-2003
:: A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence
:: Using the structure of d-connecting paths as a qualitative measure of the strength of dependence

UAI-2002
:: Markov Equivalence Classes for Maximal Ancestral Graphs

UAI-2001
:: Cross-covariance modelling via DAGs with hidden variables

UAI-1996
:: A Discovery Algorithm for Directed Cyclis Graphs
:: A Polynomial-Time Algorithm for Deciding Markov Equivalence of Directed Cyclic Graphical Models

UAI-1995
:: Causal Inference in the Presence of Latent Variables and Selection Bias


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