Bayesian & Probabilistic

Gaussian Mixture Latent Vector Grammars ACL 2018 Gaussian Process Neural Networks for Speech Recognition Interspeech 2018 Gaussian Process Prior Variational Autoencoders NeurIPS 2018 Generalizing Tree Probability Estimation via Bayesian Networks NeurIPS 2018 Geometric Robustness of Deep Networks: Analysis and Improvement CVPR 2018 GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration NeurIPS 2018 Graphical model inference: Sequential Monte Carlo meets deterministic approximations NeurIPS 2018 Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge CoRL 2018 Hamiltonian Variational Auto-Encoder NeurIPS 2018 Heterogeneous Multi-output Gaussian Process Prediction NeurIPS 2018 Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain EMNLP 2018 HOGWILD!-Gibbs can be PanAccurate NeurIPS 2018 How Deep Are Deep Gaussian Processes? JMLR 2018 Human-Centric Indoor Scene Synthesis Using Stochastic Grammar CVPR 2018 Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NeurIPS 2018 Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018 Identification of Alias Links among Participants in Narratives ACL 2018 Implicit Probabilistic Integrators for ODEs NeurIPS 2018 Importance Weighting and Variational Inference NeurIPS 2018 Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning IJCAI 2018 Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource NAACL 2018 Improving Topic Quality by Promoting Named Entities in Topic Modeling ACL 2018 Incremental Computation of Infix Probabilities for Probabilistic Finite Automata EMNLP 2018 Inference via Low-Dimensional Couplings JMLR 2018 Inferring Latent Velocities from Weather Radar Data using Gaussian Processes NeurIPS 2018