Marten Wegkamp
4 papers · 2010–2022 · 1 venue · across top CS/AI venues
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Keywords
principal component regression
(2)
binary classification
(1)
feature extraction
(1)
matrix factorization
(1)
parameter estimation
(1)
topic modeling
(1)
ridge regression
(1)
convex risk minimization
(1)
reject option
(1)
high-dimensional regression
(1)
factor regression
(1)
excess risk bound
(1)
surrogate loss
(1)
latent factor model
(1)
sparse topic model
(1)
minimax lower bound
(1)
risk bound
(1)
prediction risk
(1)
interpolating predictor
(1)
model selection
(1)
Papers
Interpolating Predictors in High-Dimensional Factor Regression
JMLR 2022
Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond
JMLR 2021
Optimal Estimation of Sparse Topic Models
JMLR 2020
Classification Methods with Reject Option Based on Convex Risk Minimization
JMLR 2010