Bayesian & Probabilistic

Marginal Inference in Continuous Markov Random Fields Using Mixtures AAAI 2019 Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption UAI 2019 Markov Random Fields for Collaborative Filtering NeurIPS 2019 Maximum Entropy Distributions: Bit Complexity and Stability COLT 2019 Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling JMLR 2019 Max-value Entropy Search for Multi-Objective Bayesian Optimization NeurIPS 2019 Meta Architecture Search NeurIPS 2019 MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019 Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019 Minimum Stein Discrepancy Estimators NeurIPS 2019 Minimum Volume Topic Modeling AISTATS 2019 Modelling Uncertainty in Collaborative Document Quality Assessment EMNLP 2019 Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation UAI 2019 Multilingual Factor Analysis ACL 2019 Multiple Futures Prediction NeurIPS 2019 Multi-resolution Multi-task Gaussian Processes NeurIPS 2019 Multi-Source Neural Variational Inference AAAI 2019 Multi-task Learning for Aggregated Data using Gaussian Processes NeurIPS 2019 Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes NeurIPS 2019 Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019 Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data AAAI 2019 Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks UAI 2019 Neural Gaussian Copula for Variational Autoencoder EMNLP 2019 Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging NAACL 2019 New Convex Relaxations for MRF Inference With Unknown Graphs ICCV 2019