Variance Approximation in Large-Scale Gaussian Markov Random Fields
Causality
Dynamic Factor Graphs for Time Series Modeling
Causal Inference as Computational Learning
Approximate Inference in Natural Language Processing
Graphical Causal Models for Time Series Econometrics: Some Recent Developments and Applications
A Tutorial on Logic-Based Approaches to SRL
A message-passing approach to stochastic optimization and inverse dynamical problems
The Philosophical Baby - What ChildrenĀ“s Minds Tell Us About Truth, Love, and the Meaning of Life
Weighting and Estimation-08-T-Small Area Estimation v1.0