Variational Stochastic Gradient Descent for Deep Neural Networks.
Haotian ChenAnna KuzinaBabak EsmaeiliJakub M. TomczakPublished in: CoRR (2024)
Keyphrases
- stochastic gradient descent
- neural network
- least squares
- matrix factorization
- loss function
- step size
- random forests
- image segmentation
- online algorithms
- support vector machine
- regularization parameter
- weight vector
- genetic algorithm
- multiple kernel learning
- convergence rate
- monte carlo
- optical flow
- recommender systems
- convergence speed
- training process
- online learning
- collaborative filtering
- importance sampling