Bayesian & Probabilistic

An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph IJCAI 2019 A neurally plausible model for online recognition and postdiction in a dynamical environment NeurIPS 2019 A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits NeurIPS 2019 Anytime Recursive Best-First Search for Bounding Marginal MAP AAAI 2019 A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019 Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse NeurIPS 2019 Approximate Bayesian Inference in Spatial Environments RSS 2019 A Probabilistic Generative Model of Linguistic Typology NAACL 2019 A Probabilistic Logic for Resource-Bounded Multi-Agent Systems IJCAI 2019 A Simple Baseline for Bayesian Uncertainty in Deep Learning NeurIPS 2019 A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM MLHC 2019 A Thompson Sampling Algorithm for Cascading Bandits AISTATS 2019 Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models AISTATS 2019 A Unified Bayesian Source Modelling for Determined Blind Source Separation Interspeech 2019 Automated Model Selection with Bayesian Quadrature ICML 2019 Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019 Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019 Automatic Bayesian Density Analysis AAAI 2019 Automatic Posterior Transformation for Likelihood-Free Inference ICML 2019 AutoSense Model for Word Sense Induction AAAI 2019 A Variational Auto-Encoder Model for Stochastic Point Processes CVPR 2019 A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning ICML 2019 Band-Limited Gaussian Processes: The Sinc Kernel NeurIPS 2019 Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design AISTATS 2019 Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement ICCV 2019