Probabilistic Modeling

Linear-Time Probabilistic Solution of Boundary Value Problems NeurIPS 2021 Longitudinal Variational Autoencoder AISTATS 2021 MAP Adaptation Characteristics in Forensic Long-Term Formant Analysis Interspeech 2021 Matrix Product States for Inference in Discrete Probabilistic Models JMLR 2021 Maximal Couplings of the Metropolis-Hastings Algorithm AISTATS 2021 MCMC Variational Inference via Uncorrected Hamiltonian Annealing NeurIPS 2021 Measure Transport with Kernel Stein Discrepancy AISTATS 2021 Min/max stability and box distributions UAI 2021 Misclassification Risk and Uncertainty Quantification in Deep Classifiers WACV 2021 Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ACL 2021 Modeling the Probabilistic Distribution of Unlabeled Data for One-shot Medical Image Segmentation AAAI 2021 Model Selection for Bayesian Autoencoders NeurIPS 2021 Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning ICLR 2021 Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021 Multi-output Gaussian Processes for uncertainty-aware recommender systems UAI 2021 Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference ICML 2021 Multi-view Inference for Relation Extraction with Uncertain Knowledge AAAI 2021 Mutual CRF-GNN for Few-Shot Learning CVPR 2021 Nearest neighbor search under uncertainty UAI 2021 Neural Approximate Sufficient Statistics for Implicit Models ICLR 2021 Neural ODE Processes ICLR 2021 Neural Temporal Point Processes: A Review IJCAI 2021 Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm NeurIPS 2021 Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers AISTATS 2021 On Recovering from Modeling Errors Using Testing Bayesian Networks ICML 2021