Bayesian & Probabilistic

Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018 Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF ACL 2018 Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning NAACL 2018 Consistent Estimation given Missing Data PGM 2018 Constant-Time Predictive Distributions for Gaussian Processes ICML 2018 Continuous Relaxation of MAP Inference: A Nonconvex Perspective CVPR 2018 Curve Reconstruction via the Global Statistics of Natural Curves CVPR 2018 DAGs with NO TEARS: Continuous Optimization for Structure Learning NeurIPS 2018 Data-dependent PAC-Bayes priors via differential privacy NeurIPS 2018 Deep Dirichlet Multinomial Regression NAACL 2018 Deep Fully-Connected Part-Based Models for Human Pose Estimation ACML 2018 Deep Generative Markov State Models NeurIPS 2018 Deep Generative Models with Learnable Knowledge Constraints NeurIPS 2018 Deep Homogeneous Mixture Models: Representation, Separation, and Approximation NeurIPS 2018 Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NeurIPS 2018 Density Adaptive Point Set Registration CVPR 2018 Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches ICML 2018 Differentiable Compositional Kernel Learning for Gaussian Processes ICML 2018 Differentially Private Database Release via Kernel Mean Embeddings ICML 2018 Differential networking with path weights in Gaussian trees PGM 2018 Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NeurIPS 2018 Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification NeurIPS 2018 Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management IJCAI 2018 Discrete model-based clustering with overlapping subsets of attributes PGM 2018 Discriminative Training of Sum-Product Networks by Extended Baum-Welch PGM 2018