Probabilistic Modeling

Variational bounds for mixed-data factor analysis NeurIPS 2010 Why are DBNs sparse? AISTATS 2010 Word Features for Latent Dirichlet Allocation NeurIPS 2010 Worst-case bounds on the quality of max-product fixed-points NeurIPS 2010 A Bayesian Analysis of Dynamics in Free Recall NeurIPS 2009 A Gaussian Tree Approximation for Integer Least-Squares NeurIPS 2009 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009 An Additive Latent Feature Model for Transparent Object Recognition NeurIPS 2009 An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NeurIPS 2009 Approximating MAP by Compensating for Structural Relaxations NeurIPS 2009 A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NeurIPS 2009 A Stochastic approximation method for inference in probabilistic graphical models NeurIPS 2009 Bayesian Source Localization with the Multivariate Laplace Prior NeurIPS 2009 Bayesian Sparse Factor Models and DAGs Inference and Comparison NeurIPS 2009 Clustering sequence sets for motif discovery NeurIPS 2009 Conditional Random Fields with High-Order Features for Sequence Labeling NeurIPS 2009 Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NeurIPS 2009 Discriminative Network Models of Schizophrenia NeurIPS 2009 Distributed Algorithms for Topic Models JMLR 2009 Estimating image bases for visual image reconstruction from human brain activity NeurIPS 2009 Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model NeurIPS 2009 Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009