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20192023
most citedValid belief updates for prequentially additive loss functions arising in Semi-Modular Inference

4 citations · 4 across the 5 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

stat.ML2022

Deep Layer-wise Networks Have Closed-Form Weights

Chieh Wu, Aria Masoomi, Arthur Gretton +1

There is currently a debate within the neuroscience community over the likelihood of the brain performing backpropagation (BP). To better mimic the brain, training a network \texti…

stat.ME2022★ 4 cited

Valid belief updates for prequentially additive loss functions arising in Semi-Modular Inference

Geoff K. Nicholls, Jeong Eun Lee, Chieh-Hsi Wu +1

Model-based Bayesian evidence combination leads to models with multiple parameteric modules. In this setting the effects of model misspecification in one of the modules may in some…