Probabilistic Modeling

Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NeurIPS 2013 Noise-Enhanced Associative Memories NeurIPS 2013 Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013 On learning parametric-output HMMs ICML 2013 Online Latent Dirichlet Allocation with Infinite Vocabulary ICML 2013 Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 On Poisson Graphical Models NeurIPS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013 Optimal integration of visual speed across different spatiotemporal frequency channels NeurIPS 2013 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013 Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013 Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NeurIPS 2013 Projecting Ising Model Parameters for Fast Mixing NeurIPS 2013 Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 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 Social Role Discovery in Human Events CVPR 2013 Spectral methods for neural characterization using generalized quadratic models NeurIPS 2013 Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically ICML 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013