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bayesian inference

2,116 papers

BI

Papers

Quantification of Uncertainty with Adversarial Models NeurIPS 2023 Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates UAI 2023 Real-time variational method for learning neural trajectory and its dynamics ICLR 2023 Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model ACL 2023 Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023 Reliable and Interpretable Personalized Federated Learning CVPR 2023 Retrospective Uncertainties for Deep Models using Vine Copulas AISTATS 2023 Robust and Scalable Bayesian Online Changepoint Detection ICML 2023 R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents ICML 2023 SAM as an Optimal Relaxation of Bayes ICLR 2023 Sample Complexity of Forecast Aggregation NeurIPS 2023 Sampling-Based Accuracy Testing of Posterior Estimators for General Inference ICML 2023 Sampling-based inference for large linear models, with application to linearised Laplace ICLR 2023 Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk NeurIPS 2023 Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing ICLR 2023 Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance JMLR 2023 Scalable marked point processes for exchangeable and non-exchangeable event sequences AISTATS 2023 Scale-Invariant Infinite Hierarchical Topic Model ACL 2023 Score-Based Diffusion Models as Principled Priors for Inverse Imaging ICCV 2023 Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation AAAI 2023 Semi-Implicit Variational Inference via Score Matching ICLR 2023 Semiparametric Inference Using Fractional Posteriors JMLR 2023 Semi-supervised learning with a principled likelihood from a generative model of data curation ICLR 2023 Sentiment as an Ordinal Latent Variable EACL 2023 Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference AAAI 2023