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Probabilistic Modeling

2,599 papers

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Papers

Implicit encoding of prior probabilities in optimal neural populations NIPS 2010
Probabilistic Inference and Differential Privacy NIPS 2010
Copula Processes NIPS 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Variational Relevance Vector Machine for Tabular Data ACML 2010
Hierarchical Gaussian Process Regression ACML 2010
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010
Why are DBNs sparse? AISTATS 2010
Focused Belief Propagation for Query-Specific Inference AISTATS 2010
Improving posterior marginal approximations in latent Gaussian models AISTATS 2010
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines AISTATS 2010
Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010
Combining Experiments to Discover Linear Cyclic Models with Latent Variables AISTATS 2010
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation AISTATS 2010
On Combining Graph-based Variance Reduction schemes AISTATS 2010
Coherent Inference on Optimal Play in Game Trees AISTATS 2010
Maximum-likelihood learning of cumulative distribution functions on graphs AISTATS 2010
Parallelizable Sampling of Markov Random Fields AISTATS 2010
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010
Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010
Inference and Learning in Networks of Queues AISTATS 2010
HOP-MAP: Efficient Message Passing with High Order Potentials AISTATS 2010
Bayesian Gaussian Process Latent Variable Model AISTATS 2010
A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping AISTATS 2010