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Probabilistic Modeling

2,252 papers

Papers per year

5
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212
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Papers

Spatial Normalized Gamma Processes NIPS 2009
Rethinking LDA: Why Priors Matter NIPS 2009
Sensitivity analysis in HMMs with application to likelihood maximization NIPS 2009
A Stochastic approximation method for inference in probabilistic graphical models NIPS 2009
Factor Modeling for Advertisement Targeting NIPS 2009
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NIPS 2009
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NIPS 2009
Replicated Softmax: an Undirected Topic Model NIPS 2009
Modeling Social Annotation Data with Content Relevance using a Topic Model NIPS 2009
Variational Gaussian-process factor analysis for modeling spatio-temporal data NIPS 2009
The Wisdom of Crowds in the Recollection of Order Information NIPS 2009
Clustering sequence sets for motif discovery NIPS 2009
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NIPS 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization NIPS 2009
Optimal context separation of spiking haptic signals by second-order somatosensory neurons NIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NIPS 2009
Particle-based Variational Inference for Continuous Systems NIPS 2009
Probabilistic Relational PCA NIPS 2009
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NIPS 2009
Riffled Independence for Ranked Data NIPS 2009
Improving Existing Fault Recovery Policies NIPS 2009
Hierarchical Learning of Dimensional Biases in Human Categorization NIPS 2009
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling NIPS 2009
Sparsistent Learning of Varying-coefficient Models with Structural Changes NIPS 2009
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis NIPS 2009