Fundamentals of statistical exponential families: with applications in statistical decision theory

Additive models, boosting, and inference for generalized divergences

COLT '99 Proceedings of the twelfth annual conference on Computational learning theory

Simulation in exponential families

ACM Transactions on Modeling and Computer Simulation (TOMACS)

Bayesian graphical model determination using decision theory

Journal of Multivariate Analysis

Reference priors for exponential families with simple quadratic variance function

Journal of Multivariate Analysis

Improved estimation of accuracy in simple hypothesis versus simple alternative testing

Journal of Multivariate Analysis

Extension of the variance function of a steep exponential family

Journal of Multivariate Analysis

Stochastic complexities of general mixture models in variational Bayesian learning

Neural Networks

Minimax Entropy Principle and Its Application to Texture Modeling

Neural Computation

Estimating the "Wrong" Graphical Model: Benefits in the Computation-Limited Setting

The Journal of Machine Learning Research

Stochastic complexity for mixture of exponential families in generalized variational Bayes

Theoretical Computer Science

The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms

Proceedings of the 25th international conference on Machine learning

PU-BCD: exponential family models for the coarse- and fine-grained all-words tasks

SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations

Learning Deep Architectures for AI

Foundations and Trends® in Machine Learning

Fisher information determinant and stochastic complexity for Markov models

ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3

Divergence from factorizable distributions and matroid representations by partitions

IEEE Transactions on Information Theory

Discriminative training of HMMs for automatic speech recognition: A survey

Computer Speech and Language

Bayesian Ying Yang system, best harmony learning, and Gaussian manifold based family

WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers

Belief propagation, Dykstra's algorithm, and iterated information projections

IEEE Transactions on Information Theory

Bayesian hybrid generative discriminative learning based on finite Liouville mixture models

Pattern Recognition

Dirichlet Process Mixtures of Generalized Linear Models

The Journal of Machine Learning Research

Relational models for contingency tables

Journal of Multivariate Analysis

Stochastic global optimization as a filtering problem

Journal of Computational Physics

Stochastic complexity for mixture of exponential families in variational bayes

ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory

A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering

Expert Systems with Applications: An International Journal

Some geometrical aspects of control points for toric patches

MMCS'08 Proceedings of the 7th international conference on Mathematical Methods for Curves and Surfaces

Deriving kernels from generalized Dirichlet mixture models and applications

Information Processing and Management: an International Journal

Variational inference in nonconjugate models

The Journal of Machine Learning Research

Expectation propagation for nonlinear inverse problems - with an application to electrical impedance tomography

Journal of Computational Physics