Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion and Blind Deconvolution.
Cong MaKaizheng WangYuejie ChiYuxin ChenPublished in: CoRR (2017)
Keyphrases
- blind deconvolution
- statistical estimation
- matrix completion
- total variation
- low rank
- convex optimization
- image deblurring
- cost function
- objective function
- stochastic gradient descent
- point spread function
- blurred images
- image denoising
- alternating direction method of multipliers
- image restoration
- bayesian framework
- singular values
- regularization term
- collaborative filtering
- denoising
- map estimation
- incomplete data
- probabilistic model
- synthetic and real images
- model selection
- image segmentation
- missing data