Uncertainty in Artificial Intelligence
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Nir Friedman
School of Computer Science & Engineering
Hebrew Universit
Contact Information
Webpage : http://www.cs.huji.ac.il/~nir
Email : nir@cs.huji.ac.il
Phone : +972-2-658
Fax : +972-2-675
Mailing Address
Ross Bldg. Givat Ram
Jerusalem,  91904
Israel
Publications in UAI

UAI-2009
:: Mean Field Variational Approximation for Continuous-Time Bayesian Networks
:: Convexifying the Bethe Free Energy

UAI-2008
:: Gibbs Sampling in Factorized Continuous-Time Markov Processes

UAI-2007
:: Template Based Inference in Symmetric Relational Markov Random Fields

UAI-2006
:: Continuous Time Markov Networks
:: Dimension Reduction in Singularly Perturbed Continuous-Time Bayesian Networks

UAI-2004
:: "Ideal Parent" Structure Learning for Continuous Variable Networks

UAI-2003
:: The Information Bottleneck EM Algorithm
:: Learning Module Networks

UAI-2001
:: Incorporating Expressive Graphical Models in Variational Approximations: Chain-Graphs and Hidden Variables
:: Learning the Dimensionality of Hidden Variables
:: Multivariate Information Bottleneck

UAI-2000
:: Likelihood Computations Using Value Abstractions
:: Being Bayesian about Network Structure
:: Gaussian Process Networks

UAI-1999
:: Discovering the Hidden Structure of Complex Dynamic Systems
:: Learning Bayesian Network Structure from Massive Datasets: The ``Sparse Candidate'' Algorithm
:: Model-Based Bayesian Exploration
:: Data Analysis with Bayesian Networks: A Bootstrap Approach

UAI-1998
:: The Bayesian Structural EM Algorithm
:: Learning the Structure of Dynamic Probabilistic Networks

UAI-1997
:: Sequential Update of Bayesian Network Structure
:: Image Segmentation in Video Sequences: A Probabilistic Approach

UAI-1996
:: Learning Bayesian Networks with Local Structure
:: A Qualitative Markov Assumption and its Implications for Belief Change
:: Context-Specific Independence in Bayesian Networks
:: On the Sample Complexity of Learning Bayesian Networks

UAI-1995
:: Plausibility Measures: A User's Guide


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