Training-time batch normalization increases expected local affine-region density in ReLU and piecewise-affine networks by acting as a batch-conditional recentering mechanism on switching hyperplanes.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Introduces anytime-valid e-processes for first- and higher-order stochastic dominance that achieve power one and remain valid under continuous monitoring.
Rising skill premiums drive unique asymmetric equilibria in a symmetric marriage market model, causing one gender to invest more in skills than the other.
citing papers explorer
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Training-Time Batch Normalization Reshapes Local Partition Geometry in Piecewise-Affine Networks
Training-time batch normalization increases expected local affine-region density in ReLU and piecewise-affine networks by acting as a batch-conditional recentering mechanism on switching hyperplanes.
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Betting on Bets: Anytime-Valid Tests for Stochastic Dominance
Introduces anytime-valid e-processes for first- and higher-order stochastic dominance that achieve power one and remain valid under continuous monitoring.
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Skill Premia and Pre-Marital Investments in Marriage Markets
Rising skill premiums drive unique asymmetric equilibria in a symmetric marriage market model, causing one gender to invest more in skills than the other.