gaussian model

An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models JMLR 2025 Fairness-Aware Estimation of Graphical Models NeurIPS 2024 Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data NeurIPS 2024 Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics Interspeech 2023 Optimal estimation of Gaussian DAG models AISTATS 2022 Private Estimation with Public Data NeurIPS 2022 Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model AISTATS 2021 How is BERT surprised? Layerwise detection of linguistic anomalies ACL 2021 On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021 Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam ICML 2018 Identifying graph-structured activation patterns in networks NeurIPS 2010 Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006