57 citations · 159 across the 36 of their papers we have counts for
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math.OC2022
A unified analysis of convex and non-convex lp-ball projection problems
Joong-Ho Won, Kenneth Lange, Jason Xu
The task of projecting onto norm balls is ubiquitous in statistics and machine learning, yet the availability of actionable algorithms for doing so is largely limited to t…
math.OC2022
Quasi-Newton acceleration of EM and MM algorithms via Broydens method
Medha Agarwal, Jason Xu
The principle of majorization-minimization (MM) provides a general framework for eliciting effective algorithms to solve optimization problems. However, they often suffer from slow…
math.OC2017
An MM Algorithm for Split Feasibility Problems
Jason Xu, Eric C. Chi, Meng Yang +1
The classical multi-set split feasibility problem seeks a point in the intersection of finitely many closed convex domain constraints, whose image under a linear mapping also lies…