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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Probabilistic Joint Image Segmentation and Labeling NIPS 2011
Optimal Reinforcement Learning for Gaussian Systems NIPS 2011
Kernel Embeddings of Latent Tree Graphical Models NIPS 2011
Probabilistic amplitude and frequency demodulation NIPS 2011
Variational Gaussian Process Dynamical Systems NIPS 2011
Generalized Beta Mixtures of Gaussians NIPS 2011
Structural equations and divisive normalization for energy-dependent component analysis NIPS 2011
Confidence Sets for Network Structure NIPS 2011
Efficient inference in matrix-variate Gaussian models with \iid observation noise NIPS 2011
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NIPS 2011
A Global Structural EM Algorithm for a Model of Cancer Progression NIPS 2011
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference NIPS 2011
Robust Multi-Class Gaussian Process Classification NIPS 2011
Inductive reasoning about chimeric creatures NIPS 2011
Uniqueness of Belief Propagation on Signed Graphs NIPS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
Message-Passing for Approximate MAP Inference with Latent Variables NIPS 2011
Hierarchically Supervised Latent Dirichlet Allocation NIPS 2011
Dynamical segmentation of single trials from population neural data NIPS 2011
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NIPS 2011
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NIPS 2011
Query-Aware MCMC NIPS 2011
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NIPS 2011
Probabilistic latent variable models for distinguishing between cause and effect NIPS 2010