Probabilistic Modeling

Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines NeurIPS 2011 Faster Algorithms for Max-Product Message-Passing JMLR 2011 From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NeurIPS 2011 Generalized Beta Mixtures of Gaussians NeurIPS 2011 Global Motion Planning under Uncertain Motion, Sensing, and Environment Map RSS 2011 Heavy-tailed Distances for Gradient Based Image Descriptors NeurIPS 2011 Hidden-Unit Conditional Random Fields AISTATS 2011 Hierarchically Supervised Latent Dirichlet Allocation NeurIPS 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011 Inductive reasoning about chimeric creatures NeurIPS 2011 Inference in continuous-time change-point models NeurIPS 2011 Kernel Belief Propagation AISTATS 2011 Kernel Embeddings of Latent Tree Graphical Models NeurIPS 2011 Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011 Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NeurIPS 2011 Learning unbelievable probabilities NeurIPS 2011 Message-Passing for Approximate MAP Inference with Latent Variables NeurIPS 2011 Mixed Cumulative Distribution Networks AISTATS 2011 Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution RSS 2011 Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NeurIPS 2011 Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes JMLR 2011 Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NeurIPS 2011 On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference NeurIPS 2011 On Tracking The Partition Function NeurIPS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011