On-Line Estimation with the Multivariate Gaussian Distribution

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A Simple Baseline for Bayesian Uncertainty in Deep Learning (2019, methodology): “We additionally note that using the deviation matrix for online covariance matrix estimation comes from viewing the online updates used in Dasgupta and Hsu [12] in matrix fashion.”
Few-Shot Continual Active Learning by a Robot (2022, methodology): “The updated covariance matrix σ̂ j is calculated based on the procedure described in [23]):”
Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis (2019, methodology): “For the SLDA variant that updates the covariance matrix online, we use the update from [14], i.e., where ∆ t is computed as: To compute predictions, we use Eq.”
Continual Learning in Deep Networks: an Analysis of the Last Layer (2021, methodology): “We used the approach with online updates of the covariance matrix of [10] as in [17].”