Approximating convex functions via non-convex oracles under the relative noise model.

Published in: Discret. Optim. (2015)

Keyphrases

maximum likelihood
convex functions
noise model
gaussian distribution
convex programs
quasiconvex
convex sets
objective function
piecewise linear
linear program
dc programming
optimization procedure
primal dual
noise level
noisy images
active learning
gaussian noise
lower bound