A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression.
Batoul TakiMohsen GhassemiAnand D. SarwateWaheed U. BajwaPublished in: CoRR (2021)
Keyphrases
- logistic regression
- low rank matrix
- lower bound
- low rank
- worst case
- convex optimization
- matrix factorization
- singular value decomposition
- approximation methods
- decision trees
- sparse matrix
- logistic regression models
- naive bayes
- support vector
- optimal solution
- missing data
- linear combination
- objective function
- loss function
- semi supervised
- learning algorithm
- probabilistic model
- data analysis
- training data