Revisiting the Noise Model of Stochastic Gradient Descent.
Barak BattashOfir LindenbaumPublished in: CoRR (2023)
Keyphrases
- noise model
- stochastic gradient descent
- least squares
- loss function
- step size
- matrix factorization
- noise level
- random forests
- gaussian distribution
- noisy images
- weight vector
- regularization parameter
- gaussian noise
- optimization procedure
- support vector machine
- multiple kernel learning
- denoising
- edge detection
- parameter space
- optical flow
- multiscale
- objective function
- computer vision
- collaborative filtering