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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Efficient Sampling for Gaussian Process Inference using Control Variables NIPS 2008
The Gaussian Process Density Sampler NIPS 2008
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NIPS 2008
Evaluating probabilities under high-dimensional latent variable models NIPS 2008
Efficient Exact Inference in Planar Ising Models NIPS 2008
Bayesian Exponential Family PCA NIPS 2008
The Infinite Hierarchical Factor Regression Model NIPS 2008
Variational Mixture of Gaussian Process Experts NIPS 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
Continuously-adaptive discretization for message-passing algorithms NIPS 2008
Asynchronous Distributed Learning of Topic Models NIPS 2008
Near-minimax recursive density estimation on the binary hypercube NIPS 2008
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NIPS 2008
Probabilistic detection of short events, with application to critical care monitoring NIPS 2008
Correlated Bigram LSA for Unsupervised Language Model Adaptation NIPS 2008
The Infinite Factorial Hidden Markov Model NIPS 2008
Learning Transformational Invariants from Natural Movies NIPS 2008
Characterizing response behavior in multisensory perception with conflicting cues NIPS 2008
A mixture model for the evolution of gene expression in non-homogeneous datasets NIPS 2008
Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NIPS 2008
New Outer Bounds on the Marginal Polytope NIPS 2007
People Tracking with the Laplacian Eigenmaps Latent Variable Model NIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs NIPS 2007
A Bayesian LDA-based model for semi-supervised part-of-speech tagging NIPS 2007
Variational Inference for Diffusion Processes NIPS 2007