A smoothing stochastic simulated annealing method for localized shapes approximation
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Mathematical Analysis and Applications"
DOI: 10.1016/j.jmaa.2016.09.033
Abstract: Abstract In B-splines approximation setting, it is known that monotony and convexity (or concavity) shapes can easily be controlled by the spline coefficients. In this paper we deal with the general context of combinations of… read more here.
Keywords: approximation; stochastic simulated; smoothing stochastic; spline coefficients ... See more keywords
Laplacian Smoothing Stochastic ADMMs With Differential Privacy Guarantees
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3170271
Abstract: Many machine learning tasks such as structured sparse coding and multi-task learning can be converted into an equality constrained optimization problem. The stochastic alternating direction method of multipliers (SADMM) is a popular algorithm to solve… read more here.
Keywords: smoothing stochastic; stochastic admm; privacy; equality constrained ... See more keywords