A Proximal-Point Algorithm with Variable Sample-Sizes (PPAWSS) for Monotone Stochastic Variational Inequality Problems.
Afrooz JalilzadehUday V. ShanbhagPublished in: WSC (2019)
Keyphrases
- markov random field
- image restoration
- sample size
- proximal point algorithm
- variational inequality problems
- upper bound
- variational inequalities
- total variation
- random sampling
- model selection
- statistical tests
- confidence intervals
- statistical power
- basis pursuit
- lower bound
- variance reduction
- worst case
- monte carlo
- signal processing
- training set