Stochastic processes on graphs with cycles: geometric and variational approaches

CCCP algorithms to minimize the Bethe and Kikuchi free energies: convergent alternatives to belief propagation

Neural Computation

Tree consistency and bounds on the performance of the max-product algorithm and its generalizations

Statistics and Computing

Robust distributed estimation in sensor networks using the embedded polygons algorithm

Proceedings of the 3rd international symposium on Information processing in sensor networks

Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Graphical Models and Point Pattern Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence

Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data

The Journal of Machine Learning Research

New closed-form bounds on the partition function

Machine Learning

Graphical Models, Exponential Families, and Variational Inference

Foundations and Trends® in Machine Learning

Incremental distributed identification of Markov random field models in wireless sensor networks

IEEE Transactions on Signal Processing

A new class of upper bounds on the log partition function

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence