Revisiting the Noise Model of Stochastic Gradient Descent.
Barak BattashLior WolfOfir LindenbaumPublished in: AISTATS (2024)
Keyphrases
- noise model
- stochastic gradient descent
- loss function
- least squares
- step size
- matrix factorization
- random forests
- noisy images
- noise level
- gaussian distribution
- weight vector
- gaussian noise
- support vector machine
- optimization procedure
- multiple kernel learning
- online algorithms
- computer vision
- regularization parameter
- parameter space
- higher order
- machine learning
- ensemble methods
- gaussian mixture model
- semi supervised
- multi objective