Bayesian & Probabilistic

Language Modeling with Shared Grammar ACL 2019 LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving CVPR 2019 Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition Interspeech 2019 Latent Dirichlet Allocation for Internet Price War AAAI 2019 Latent Structure Models for Natural Language Processing ACL 2019 Learning Bayesian Networks with Low Rank Conditional Probability Tables NeurIPS 2019 Learning Disentangled Representations for Recommendation NeurIPS 2019 Learning Disentangled Representation with Pairwise Independence AAAI 2019 Learning Diverse Bayesian Networks AAAI 2019 Learning Flexible Latent Representations via Encapsulated Variational Encoders AAAI 2019 Learning from demonstration with model-based Gaussian process CoRL 2019 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning Hierarchical Priors in VAEs NeurIPS 2019 Learning interpretable continuous-time models of latent stochastic dynamical systems ICML 2019 Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields IJCAI 2019 Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming ACL 2019 Learning Mixtures of Plackett-Luce Models from Structured Partial Orders NeurIPS 2019 Learning Nonsymmetric Determinantal Point Processes NeurIPS 2019 Learning to Address Health Inequality in the United States with a Bayesian Decision Network AAAI 2019 Learning Unfaithful K-separable Gaussian Graphical Models JMLR 2019 Learning Vine Copula Models for Synthetic Data Generation AAAI 2019 Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery EMNLP 2019 Lifted Hinge-Loss Markov Random Fields AAAI 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NeurIPS 2019