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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

The Wisdom of Crowds in the Recollection of Order Information NIPS 2009
Variational Gaussian-process factor analysis for modeling spatio-temporal data NIPS 2009
Modeling Social Annotation Data with Content Relevance using a Topic Model NIPS 2009
Replicated Softmax: an Undirected Topic Model NIPS 2009
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NIPS 2009
Distributed Algorithms for Topic Models JMLR 2009
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NIPS 2009
Bayesian Source Localization with the Multivariate Laplace Prior NIPS 2009
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009
The Mondrian Process NIPS 2008
Multiscale Random Fields with Application to Contour Grouping NIPS 2008
Nonlinear causal discovery with additive noise models NIPS 2008
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NIPS 2008
Sparse probabilistic projections NIPS 2008
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NIPS 2008
Generative and Discriminative Learning with Unknown Labeling Bias NIPS 2008
Bayesian Model of Behaviour in Economic Games NIPS 2008
Characterizing neural dependencies with copula models NIPS 2008
A Convex Upper Bound on the Log-Partition Function for Binary Distributions NIPS 2008
Multi-Agent Filtering with Infinitely Nested Beliefs NIPS 2008
Gates NIPS 2008
Sparse Signal Recovery Using Markov Random Fields NIPS 2008
Supervised Exponential Family Principal Component Analysis via Convex Optimization NIPS 2008
Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation NIPS 2008
MAS: a multiplicative approximation scheme for probabilistic inference NIPS 2008