Label noise (stochastic) gradient descent implicitly solves the Lasso for quadratic parametrisation.
Loucas Pillaud-VivienJulien ReygnerNicolas FlammarionPublished in: COLT (2022)
Keyphrases
- stochastic gradient descent
- label noise
- least squares
- regularization parameter
- active learning
- loss function
- matrix factorization
- step size
- cross validation
- pairwise
- feature selection
- training data
- random forests
- model selection
- image restoration
- weight vector
- support vector machine
- objective function
- online algorithms
- sparse representation
- supervised learning
- multiple instance learning
- multiple kernel learning
- training examples
- optimization algorithm
- evolutionary algorithm
- reinforcement learning
- feature extraction