Work done while at IBMResearch - Almaden.

The priors used in this presentation include variants oftotalvariation, Laplacian regularization, bilateral filtering, sparse coding on learned dictionaries, and non-local self similarities. Our models are fully interpretable as well as parameter and data efficient.

Estimation and inference in statistics pose significant challenges when data are collected adaptively.

Section 4.2 demonstrates addressthechallenges (Figure 1 contains of Scatterbrain).