Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent.
Lingjiong ZhuMert GürbüzbalabanAnant RajUmut SimsekliPublished in: CoRR (2023)
Keyphrases
- stochastic gradient descent
- least squares
- matrix factorization
- step size
- loss function
- random forests
- upper bound
- lower bound
- online algorithms
- missing data
- support vector machine
- worst case
- regularization parameter
- weight vector
- collaborative filtering
- multiple kernel learning
- logistic regression
- np hard
- incomplete data
- active learning
- vc dimension
- recommender systems
- image processing