Bayesian Inference

A Kernel Stein Test of Goodness of Fit for Sequential Models ICML 2023 A Large-Scale Study of Probabilistic Calibration in Neural Network Regression ICML 2023 A Latent-Variable Model for Intrinsic Probing AAAI 2023 Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog EMNLP 2023 Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics JMLR 2023 Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation ACL 2023 AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification AAAI 2023 Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels UAI 2023 Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification MIDL 2023 A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data AISTATS 2023 An Empirical Bayes Framework for Open-Domain Dialogue Generation EMNLP 2023 A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference NeurIPS 2023 An improved variational approximate posterior for the deep Wishart process UAI 2023 An Ordinal Latent Variable Model of Conflict Intensity ACL 2023 A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification ACML 2023 A policy gradient approach for optimization of smooth risk measures UAI 2023 Approximate inference of marginals using the IBIA framework NeurIPS 2023 Approximately Bayes-optimal pseudo-label selection UAI 2023 Approximate Post-Selective Inference for Regression with the Group LASSO JMLR 2023 Approximate Thompson Sampling via Epistemic Neural Networks UAI 2023 A Probabilistic Framework for Discovering New Intents ACL 2023 A Probabilistic Framework for Lifelong Test-Time Adaptation CVPR 2023 Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML 2023 Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023 A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods NeurIPS 2023