Bayesian & Probabilistic

A Locally Adaptive Normal Distribution NeurIPS 2016 Analysis of Speaker Recognition Systems in Realistic Scenarios of the SITW 2016 Challenge Interspeech 2016 An Empirical-Bayes Score for Discrete Bayesian Networks PGM 2016 An Exact Approach to Learning Probabilistic Relational Model PGM 2016 An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators Interspeech 2016 A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics NeurIPS 2016 Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods NeurIPS 2016 A Probabilistic Collaborative Representation Based Approach for Pattern Classification CVPR 2016 A Probabilistic Programming Approach To Probabilistic Data Analysis NeurIPS 2016 A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification NeurIPS 2016 A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NeurIPS 2016 A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes JMLR 2016 Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition NeurIPS 2016 Bayesian group factor analysis with structured sparsity JMLR 2016 Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words COLING 2016 Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models JMLR 2016 Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016 Bayesian Networks: a Combined Tuning Heuristic PGM 2016 Bayesian Networks for Variable Groups PGM 2016 Bayesian optimization for automated model selection NeurIPS 2016 Bayesian Optimization for Probabilistic Programs NeurIPS 2016 Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian NeurIPS 2016 Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NeurIPS 2016 Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016 Beyond CCA: Moment Matching for Multi-View Models ICML 2016