Fast max-affine regression via stochastic gradient descent.
Seonho KimKiryung LeePublished in: Allerton (2023)
Keyphrases
- stochastic gradient descent
- least squares
- loss function
- matrix factorization
- step size
- regression model
- random forests
- multiple kernel learning
- support vector
- regularization parameter
- model selection
- importance sampling
- online algorithms
- weight vector
- support vector machine
- pairwise
- machine learning
- convergence rate
- logistic regression
- cost function
- multiscale
- image sequences