Bayesian Inference

SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier SemEval 2017 SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model SemEval 2017 Stability of Controllers for Gaussian Process Dynamics JMLR 2017 Statistical and Computational Guarantees for the Baum-Welch Algorithm JMLR 2017 Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017 Stein Variational Gradient Descent as Gradient Flow NeurIPS 2017 Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference NeurIPS 2017 Stochastic Bouncy Particle Sampler ICML 2017 Stochastic Gradient Descent as Approximate Bayesian Inference JMLR 2017 Stochastic Gradient MCMC Methods for Hidden Markov Models ICML 2017 Stochastic Gradient Monomial Gamma Sampler ICML 2017 Stochastic Online Anomaly Analysis for Streaming Time Series IJCAI 2017 Streaming Sparse Gaussian Process Approximations NeurIPS 2017 Student-t Process Regression with Student-t Likelihood IJCAI 2017 Subband Selection for Binaural Speech Source Localization Interspeech 2017 Surface Motion Capture Transfer With Gaussian Process Regression CVPR 2017 Tensor Belief Propagation ICML 2017 Tensor Decomposition with Missing Indices IJCAI 2017 Tomography of the London Underground: a Scalable Model for Origin-Destination Data NeurIPS 2017 Towards Quantum Language Models EMNLP 2017 Tractability in Structured Probability Spaces NeurIPS 2017 Universality of Bayesian mixture predictors ALT 2017 Unsupervised Dialogue Act Induction using Gaussian Mixtures EACL 2017 Unsupervised Text Segmentation Based on Native Language Characteristics ACL 2017 VAE Learning via Stein Variational Gradient Descent NeurIPS 2017