On the Intrinsic Privacy of Stochastic Gradient Descent.
Stephanie L. HylandShruti ToplePublished in: CoRR (2019)
Keyphrases
- stochastic gradient descent
- loss function
- least squares
- matrix factorization
- step size
- random forests
- online algorithms
- regularization parameter
- support vector machine
- importance sampling
- multiple kernel learning
- weight vector
- support vector
- active learning
- markov random field
- maximum likelihood
- pairwise
- optimal solution
- learning rate