Bayesian Inference

Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization NeurIPS 2023 Improving Diachronic Word Sense Induction with a Nonparametric Bayesian method ACL 2023 Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023 Improving multiple-try Metropolis with local balancing JMLR 2023 Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization CVPR 2023 Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023 Incentives in Private Collaborative Machine Learning NeurIPS 2023 Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023 Input uncertainty propagation through trained neural networks ICML 2023 Instance-Dependent Noisy Label Learning via Graphical Modelling WACV 2023 Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions MLHC 2023 Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images CVPR 2023 Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023 Investigating a Generalization of Probabilistic Material Implication and Bayesian Conditionals UAI 2023 Is Learning Summary Statistics Necessary for Likelihood-free Inference? ICML 2023 Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality JMLR 2023 It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk EMNLP 2023 Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NeurIPS 2023 Kalman Bayesian Neural Networks for Closed-Form Online Learning AAAI 2023 Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization NeurIPS 2023 Knowledge Acquisition for Human-In-The-Loop Image Captioning AISTATS 2023 Knowledge Intensive Learning of Cutset Networks UAI 2023 Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model NeurIPS 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NeurIPS 2023 Langevin Diffusion Variational Inference AISTATS 2023