Bayesian & Probabilistic

Learning Tractable Multidimensional Bayesian Network Classifiers PGM 2016 Learning under uncertainty: a comparison between R-W and Bayesian approach NeurIPS 2016 Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification CVPR 2016 Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences NeurIPS 2016 Measuring the reliability of MCMC inference with bidirectional Monte Carlo NeurIPS 2016 Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input COLING 2016 Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis CVPR 2016 Modeling topic dependencies in semantically coherent text spans with copulas COLING 2016 Model Integration for HMM- and DNN-Based Speech Synthesis Using Product-of-Experts Framework Interspeech 2016 Multi-Label Classification with Cutset Networks PGM 2016 Multiple Kernel Learning with Data Augmentation ACML 2016 Multiple Output Regression with Latent Noise JMLR 2016 Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016 Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models NeurIPS 2016 Natural-Parameter Networks: A Class of Probabilistic Neural Networks NeurIPS 2016 Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics NeurIPS 2016 Non-linear Causal Inference using Gaussianity Measures JMLR 2016 Nonlinear Statistical Learning with Truncated Gaussian Graphical Models ICML 2016 Nonparametric Network Models for Link Prediction JMLR 2016 On Bayesian Network Inference with Simple Propagation PGM 2016 On collapsed representation of hierarchical Completely Random Measures ICML 2016 Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016 Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics NeurIPS 2016 Online Learning With Bayesian Classification Trees CVPR 2016 Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles JMLR 2016