Bayesian & Probabilistic

Quasi-Newton Method: A New Direction JMLR 2013 Real-Time Inference for a Gamma Process Model of Neural Spiking NeurIPS 2013 Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively NeurIPS 2013 Reconciling "priors" & "priors" without prejudice? NeurIPS 2013 Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013 Relevance Topic Model for Unstructured Social Group Activity Recognition NeurIPS 2013 Restricting exchangeable nonparametric distributions NeurIPS 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 Semantically-Based Human Scanpath Estimation with HMMs ICCV 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Similarity Component Analysis NeurIPS 2013 Small-Variance Asymptotics for Hidden Markov Models NeurIPS 2013 Social Role Discovery in Human Events CVPR 2013 Sparse Single-Index Model JMLR 2013 Spectral methods for neural characterization using generalized quadratic models NeurIPS 2013 Spike train entropy-rate estimation using hierarchical Dirichlet process priors NeurIPS 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013 Streaming Variational Bayes NeurIPS 2013 Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically ICML 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 Synthesizing Robust Plans under Incomplete Domain Models NeurIPS 2013 The Extended Parameter Filter ICML 2013 The Most Generative Maximum Margin Bayesian Networks ICML 2013 Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections NeurIPS 2013