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The Predictive Normalized Maximum Likelihood for Over-parameterized Linear Regression with Norm Constraint: Regret and Double Descent.
Koby Bibas
Meir Feder
Published in:
CoRR (2021)
Keyphrases
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linear regression
normalized maximum likelihood
regret bounds
least squares
multivariate regression
regression problems
regression methods
ridge regression
lower bound
nonlinear regression
regression model
change point detection
loss function
worst case
image sequences
mdl principle
model selection