A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression.
Batoul TakiMohsen GhassemiAnand D. SarwateWaheed U. BajwaPublished 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