Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent.
Benjamin GessSebastian KassingVitalii KonarovskyiPublished in: CoRR (2023)
Keyphrases
- stochastic gradient descent
- matrix factorization
- least squares
- loss function
- step size
- random forests
- markov random field
- monte carlo
- support vector machine
- weight vector
- online algorithms
- importance sampling
- closed form
- multiple kernel learning
- regularization parameter
- conditional random fields
- feature selection
- em algorithm
- markov chain
- collaborative filtering
- convergence rate
- prior information
- missing data
- optical flow
- pairwise
- support vector