Bayesian & Probabilistic

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning NeurIPS 2022 A Simple Approach to Automated Spectral Clustering NeurIPS 2022 A Statistical Manifold Framework for Point Cloud Data ICML 2022 Asymptotic Properties for Bayesian Neural Network in Besov Space NeurIPS 2022 A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery Interspeech 2022 A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration CVPR 2022 A Variational Edge Partition Model for Supervised Graph Representation Learning NeurIPS 2022 BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022 BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression ICML 2022 Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel NeurIPS 2022 Bayes at FigLang 2022 Euphemism Detection shared task: Cost-Sensitive Bayesian Fine-tuning and Venn-Abers Predictors for Robust Training under Class Skewed Distributions EMNLP 2022 Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers NeurIPS 2022 Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling PGM 2022 Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022 Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations ICML 2022 Bayesian Optimisation for Active Monitoring of Air Pollution AAAI 2022 Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NeurIPS 2022 Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization NeurIPS 2022 Bayesian Optimization over Permutation Spaces AAAI 2022 Bayesian Optimization under Stochastic Delayed Feedback ICML 2022 Bayesian Recurrent Units and the Forward-Backward Algorithm Interspeech 2022 Bayesian subset selection and variable importance for interpretable prediction and classification JMLR 2022 Beyond black box densities: Parameter learning for the deviated components NeurIPS 2022 Black-box coreset variational inference NeurIPS 2022 Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel CVPR 2022