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Probabilistic Modeling

2,252 papers

Papers per year

5
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212
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Papers

Approximate inference in continuous time Gaussian-Jump processes NIPS 2010
Probabilistic Deterministic Infinite Automata NIPS 2010
Brain covariance selection: better individual functional connectivity models using population prior NIPS 2010
Mixture of time-warped trajectory models for movement decoding NIPS 2010
A Discriminative Latent Model of Image Region and Object Tag Correspondence NIPS 2010
Self-Paced Learning for Latent Variable Models NIPS 2010
Learning Efficient Markov Networks NIPS 2010
Inference with Multivariate Heavy-Tails in Linear Models NIPS 2010
Implicit encoding of prior probabilities in optimal neural populations NIPS 2010
Probabilistic Inference and Differential Privacy NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010
Generative Models of Information Diffusion with Asynchronous Timedelay ACML 2010
A Study of Approximate Inference in Probabilistic Relational Models ACML 2010
Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010
Deterministic Bayesian inference for the $p*$ model AISTATS 2010
Why are DBNs sparse? AISTATS 2010
Focused Belief Propagation for Query-Specific Inference AISTATS 2010
Bayesian variable order Markov models AISTATS 2010
Neural conditional random fields AISTATS 2010
Graphical Gaussian modelling of multivariate time series with latent variables AISTATS 2010
On Combining Graph-based Variance Reduction schemes AISTATS 2010
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models AISTATS 2010
Collaborative Filtering via Rating Concentration AISTATS 2010