Probabilistic Modeling

Minimum Volume Topic Modeling AISTATS 2019 Multilingual Factor Analysis ACL 2019 Multiple Futures Prediction NeurIPS 2019 Multi-Source Neural Variational Inference AAAI 2019 Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes NeurIPS 2019 Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data AAAI 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 Noisy Channel for Low Resource Grammatical Error Correction ACL 2019 Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes NeurIPS 2019 Object Conditioning for Causal Inference UAI 2019 One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019 On the Hardness of Probabilistic Inference Relaxations AAAI 2019 Ontology-Mediated Query Answering over Log-Linear Probabilistic Data AAAI 2019 On Tractable Computation of Expected Predictions NeurIPS 2019 OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models IJCAI 2019 Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NeurIPS 2019 Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration CoRL 2019 Poisson-Randomized Gamma Dynamical Systems NeurIPS 2019 Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics AAAI 2019 Practical and Consistent Estimation of f-Divergences NeurIPS 2019 Precision-Recall Balanced Topic Modelling NeurIPS 2019 Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data AAAI 2019 Probabilistic Logic Programming with Beta-Distributed Random Variables AAAI 2019