On Minibatch Noise: Discrete-Time SGD, Overparametrization, and Bayes.
Ziyin LiuKangqiao LiuTakashi MoriMasahito UedaPublished in: CoRR (2021)
Keyphrases
- decision trees
- random noise
- multiscale
- missing data
- noisy data
- noise sensitivity
- noise free
- noise model
- finite state
- signal to noise ratio
- markov chain
- support vector
- neural network
- image noise
- markov processes
- low signal to noise ratio
- least squares
- noise level
- support vector machine
- recommender systems
- feature selection
- stochastic gradient descent
- learning algorithm