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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010
Parallelizable Sampling of Markov Random Fields AISTATS 2010
Variational Relevance Vector Machine for Tabular Data ACML 2010
Implicit encoding of prior probabilities in optimal neural populations NIPS 2010
The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
The Multidimensional Wisdom of Crowds NIPS 2010
FastInf: An Efficient Approximate Inference Library JMLR 2010
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NIPS 2010
Copula Processes NIPS 2010
Self-Paced Learning for Latent Variable Models NIPS 2010
libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models JMLR 2010
Focused Belief Propagation for Query-Specific Inference AISTATS 2010
Probabilistic Inference and Differential Privacy NIPS 2010
Layered image motion with explicit occlusions, temporal consistency, and depth ordering NIPS 2010
Inference with Multivariate Heavy-Tails in Linear Models NIPS 2010
Learning Efficient Markov Networks NIPS 2010
Word Features for Latent Dirichlet Allocation NIPS 2010
Brain covariance selection: better individual functional connectivity models using population prior NIPS 2010
Probabilistic Deterministic Infinite Automata NIPS 2010
Approximate inference in continuous time Gaussian-Jump processes NIPS 2010
Gaussian sampling by local perturbations NIPS 2010
Global seismic monitoring as probabilistic inference NIPS 2010
Variational Inference over Combinatorial Spaces NIPS 2010
Continuous Time Bayesian Network Reasoning and Learning Engine JMLR 2010