bayesian inference

Embarrassingly Parallel MCMC using Deep Invertible Transformations UAI 2019 Estimating the Causal Effect from Partially Observed Time Series AAAI 2019 Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones UAI 2019 Evaluating Topic Quality with Posterior Variability EMNLP 2019 Evidence-based Trustworthiness ACL 2019 Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition Interspeech 2019 Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations ICML 2019 Faster Attend-Infer-Repeat with Tractable Probabilistic Models ICML 2019 Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs AISTATS 2019 Function-Space Distributions over Kernels NeurIPS 2019 GASC: Genre-Aware Semantic Change for Ancient Greek ACL 2019 Gaussian Process Modulated Cox Processes under Linear Inequality Constraints AISTATS 2019 Generalizing Eye Tracking With Bayesian Adversarial Learning CVPR 2019 Good Initializations of Variational Bayes for Deep Models ICML 2019 Gradient-based Adaptive Markov Chain Monte Carlo NeurIPS 2019 GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series NeurIPS 2019 Hamiltonian Monte Carlo with Energy Conserving Subsampling JMLR 2019 Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets IJCAI 2019 Incorporating Grouping Information into Bayesian Decision Tree Ensembles ICML 2019 Interpretable Word Embeddings via Informative Priors EMNLP 2019 Kernelized Bayesian Softmax for Text Generation NeurIPS 2019 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior AAAI 2019 LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models AISTATS 2019 Locally Private Bayesian Inference for Count Models ICML 2019