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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders JMLR 2014
Generating Efficient MCMC Kernels from Probabilistic Programs AISTATS 2014
Accelerating ABC methods using Gaussian processes AISTATS 2014
Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014
Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014
Particle Gibbs with Ancestor Sampling JMLR 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014
Robust learning of inhomogeneous PMMs AISTATS 2014
Avoiding pathologies in very deep networks AISTATS 2014
Efficient State-Space Inference of Periodic Latent Force Models JMLR 2014
Revisiting Bayesian Blind Deconvolution JMLR 2014
Variational Inference for Sequential Distance Dependent Chinese Restaurant Process ICML 2014
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014
Hierarchical Dirichlet Scaling Process ICML 2014
Neural Variational Inference and Learning in Belief Networks ICML 2014
Global Sensitivity Analysis for MAP Inference in Graphical Models NIPS 2014
Distributed Parameter Estimation in Probabilistic Graphical Models NIPS 2014
Learning Mixtures of Ranking Models NIPS 2014
Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014
Learning Time-Varying Coverage Functions NIPS 2014
Dirichlet-based Histogram Feature Transform for Image Classification CVPR 2014
Efficient Nonlinear Markov Models for Human Motion CVPR 2014
Ground Plane Estimation using a Hidden Markov Model CVPR 2014
Interval Tracker: Tracking by Interval Analysis CVPR 2014