Bayesian Inference

Amortized Bayesian Meta-Learning ICLR 2019 Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019 An Alarm System for Segmentation Algorithm Based on Shape Model ICCV 2019 Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019 Analyzing Bayesian Crosslingual Transfer in Topic Models NAACL 2019 An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics ACL 2019 A neurally plausible model for online recognition and postdiction in a dynamical environment NeurIPS 2019 A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019 Approximate Bayesian Inference in Spatial Environments RSS 2019 Approximate Inference Turns Deep Networks into Gaussian Processes NeurIPS 2019 A Probabilistic Derivation of LASSO and L12-Norm Feature Selections AAAI 2019 A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019 A Simple Baseline for Bayesian Uncertainty in Deep Learning NeurIPS 2019 Assumed Density Filtering Q-learning IJCAI 2019 A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI NeurIPS 2019 Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation ICML 2019 Attentive Neural Processes ICLR 2019 Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models AISTATS 2019 Augmenting and Tuning Knowledge Graph Embeddings UAI 2019 A Unified Bayesian Source Modelling for Determined Blind Source Separation Interspeech 2019 AutoDispNet: Improving Disparity Estimation With AutoML ICCV 2019 Automated Model Selection with Bayesian Quadrature ICML 2019 Automated Negotiation with Gaussian Process-based Utility Models IJCAI 2019 Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019 Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019