Bayesian & Probabilistic

Resolution of Referential Ambiguity in Human-Robot Dialogue Using Dempster-Shafer Theoretic Pragmatics RSS 2017 Robust and Scalable Bayes via a Median of Subset Posterior Measures JMLR 2017 Robust Energy Minimization for BRDF-Invariant Shape From Light Fields CVPR 2017 Robust Probabilistic Modeling with Bayesian Data Reweighting ICML 2017 Scalable Log Determinants for Gaussian Process Kernel Learning NeurIPS 2017 Scalable Model Selection for Belief Networks NeurIPS 2017 Scalable Multi-Class Gaussian Process Classification using Expectation Propagation ICML 2017 Segment-Level Neural Conditional Random Fields for Named Entity Recognition IJCNLP 2017 Sequential Graph Matching with Sequential Monte Carlo AISTATS 2017 ShapeOdds: Variational Bayesian Learning of Generative Shape Models CVPR 2017 Soft-Bayes: Prod for Mixtures of Experts with Log-Loss ALT 2017 Solving Probability Problems in Natural Language IJCAI 2017 Speaker Verification via Estimating Total Variability Space Using Probabilistic Partial Least Squares Interspeech 2017 Spectral Mixture Kernels for Multi-Output Gaussian Processes NeurIPS 2017 SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling ICML 2017 Stein Variational Gradient Descent as Gradient Flow NeurIPS 2017 Strong Syntax Splitting for Iterated Belief Revision IJCAI 2017 Structured Bayesian Pruning via Log-Normal Multiplicative Noise NeurIPS 2017 Student-t Process Regression with Student-t Likelihood IJCAI 2017 SVD-Based Screening for the Graphical Lasso IJCAI 2017 Symbolic Priors for RNN-based Semantic Parsing IJCAI 2017 Targeting EEG/LFP Synchrony with Neural Nets NeurIPS 2017 Tensor Belief Propagation ICML 2017 Testing Bayesian Networks COLT 2017 The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities NeurIPS 2017