Bayesian Inference

Automatic Bayesian Density Analysis AAAI 2019 Automatic Posterior Transformation for Likelihood-Free Inference ICML 2019 AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning NAACL 2019 Auxiliary Variational MCMC ICLR 2019 A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification NAACL 2019 A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring CVPR 2019 Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation NeurIPS 2019 Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019 Band-Limited Gaussian Processes: The Sinc Kernel NeurIPS 2019 BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NeurIPS 2019 Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning ICML 2019 Bayesian Adaptive Superpixel Segmentation ICCV 2019 Bayesian Batch Active Learning as Sparse Subset Approximation NeurIPS 2019 Bayesian Counterfactual Risk Minimization ICML 2019 Bayesian Deconditional Kernel Mean Embeddings ICML 2019 Bayesian Deep Collaborative Matrix Factorization AAAI 2019 Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes ICLR 2019 Bayesian Estimator for Partial Trajectory Alignment RSS 2019 Bayesian Execution Skill Estimation AAAI 2019 Bayesian Fairness AAAI 2019 Bayesian Functional Optimisation with Shape Prior AAAI 2019 Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification AAAI 2019 Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition ICCV 2019 Bayesian Hierarchical Dynamic Model for Human Action Recognition CVPR 2019 Bayesian HMM Based x-Vector Clustering for Speaker Diarization Interspeech 2019