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Causal Inference

3310 directly classified papers

Papers per year

Papers

A Bayesian Approach to Diffusion Models of Decision-Making and Response Time NIPS 2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NIPS 2006
A Linear Non-Gaussian Acyclic Model for Causal Discovery JMLR 2006
Learning the Structure of Linear Latent Variable Models JMLR 2006
Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005
Change Point Problems in Linear Dynamical Systems JMLR 2005
Exact Bayesian Structure Discovery in Bayesian Networks JMLR 2004
An Empirical Study of the Use of Relevance Information in Inductive Logic Programming JMLR 2003
On Inclusion-Driven Learning of Bayesian Networks JMLR 2003
Optimal Structure Identification With Greedy Search JMLR 2002