On Maximum a Posteriori Estimation with Plug & Play Priors and Stochastic Gradient Descent.
Rémi LaumontValentin De BortoliAndrés AlmansaJulie DelonAlain DurmusMarcelo PereyraPublished in: J. Math. Imaging Vis. (2023)
Keyphrases
- maximum a posteriori estimation
- stochastic gradient descent
- least squares
- step size
- matrix factorization
- loss function
- random forests
- support vector machine
- gaussian distribution
- bayesian framework
- regularization parameter
- multiple kernel learning
- weight vector
- online algorithms
- image segmentation
- maximum a posteriori
- prior knowledge
- objective function