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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data ICML 2014
Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014
Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014
Learning Graphs with a Few Hubs ICML 2014
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions ICML 2014
Learning Sum-Product Networks with Direct and Indirect Variable Interactions ICML 2014
Clamping Variables and Approximate Inference NIPS 2014
Sensory Integration and Density Estimation NIPS 2014
Variational Gaussian Process State-Space Models NIPS 2014
Tree-structured Gaussian Process Approximations NIPS 2014
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NIPS 2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference NIPS 2014
Content-based recommendations with Poisson factorization NIPS 2014
Making Pairwise Binary Graphical Models Attractive NIPS 2014
Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
Low-dimensional models of neural population activity in sensory cortical circuits NIPS 2014
Gaussian Process Vine Copulas for Multivariate Dependence ICML 2013
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013
Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos ICCV 2013
3D Scene Understanding by Voxel-CRF ICCV 2013
Learning CRFs for Image Parsing with Adaptive Subgradient Descent ICCV 2013
Bayesian Robust Matrix Factorization for Image and Video Processing ICCV 2013
Illuminant Chromaticity from Image Sequences ICCV 2013
Hidden Factor Analysis for Age Invariant Face Recognition ICCV 2013