A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression.

Batoul Taki Mohsen Ghassemi Anand D. Sarwate Waheed U. Bajwa

Published in: ACSCC (2021)

Keyphrases

logistic regression
low rank matrix
lower bound
low rank
worst case
convex optimization
matrix factorization

singular value decomposition
sparse matrix
decision trees
support vector
approximation methods
naive bayes
logistic regression models

loss function
optimal solution
linear combination
high dimensional data
objective function
missing data

semi supervised
model selection
collaborative filtering
small number
probabilistic model
pattern recognition