On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent.
Rémi LaumontValentin De BortoliAndrés AlmansaJulie DelonAlain DurmusMarcelo PereyraPublished in: CoRR (2022)
Keyphrases
- maximum a posteriori estimation
- stochastic gradient descent
- least squares
- matrix factorization
- step size
- loss function
- random forests
- gaussian distribution
- importance sampling
- regularization parameter
- multiple kernel learning
- weight vector
- support vector machine
- prior information
- online algorithms
- linear combination
- pairwise
- bayesian framework
- computer vision
- logistic regression
- machine learning algorithms
- image restoration
- lower bound