conftrace_

gaussian model

13 papers

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Co-occurring keywords

graphical model (864) variational inference (2069) gaussian process (1200) maximum likelihood (255) linear gaussian (2) structure learning (341) density estimation (398) sparse classification (11) information theoretic lower bound (5) transformer language model (192)

Papers

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