Bayesian & Probabilistic

Interval Tracker: Tracking by Interval Analysis CVPR 2014 Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI CVPR 2014 Iterative Neural Autoregressive Distribution Estimator NADE-k NeurIPS 2014 Kernel Adaptive Metropolis-Hastings ICML 2014 Latent Confusion Analysis by Normalized Gamma Construction ICML 2014 Latent Gaussian Models for Topic Modeling AISTATS 2014 Learning Heterogeneous Hidden Markov Random Fields AISTATS 2014 Learning Latent Variable Gaussian Graphical Models ICML 2014 Learning Mixtures of Ranking Models NeurIPS 2014 Learning Modular Structures from Network Data and Node Variables ICML 2014 Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014 Learning the Irreducible Representations of Commutative Lie Groups ICML 2014 Learning Time-Varying Coverage Functions NeurIPS 2014 Learning with Maximum A-Posteriori Perturbation Models AISTATS 2014 Lifted MAP Inference for Markov Logic Networks AISTATS 2014 Loopy Belief Propagation in the Presence of Determinism AISTATS 2014 Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 Magnitude-sensitive preference formation` NeurIPS 2014 MAP Visibility Estimation for Large-Scale Dynamic 3D Reconstruction CVPR 2014 Max-Margin Infinite Hidden Markov Models ICML 2014 Mind the Nuisance: Gaussian Process Classification using Privileged Noise NeurIPS 2014 Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014 Multi-scale Graphical Models for Spatio-Temporal Processes NeurIPS 2014 Neural Variational Inference and Learning in Belief Networks ICML 2014