REVIEW 1 cited by
Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs II: Convex Optimization Problems
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
The prior work of [SIAM J. Optim., 2025] used scaled relative graphs (SRG) to analyze the convergence of Davis--Yin splitting (DYS) iterations on monotone inclusion problems. In this work, we use this machinery to analyze DYS iterations on convex optimization problems and obtain state-of-the-art linear convergence rates.
Forward citations
Cited by 1 Pith paper
-
The Stochastic Multi-Proximal Method for Nonsmooth Optimization
SMPM is a stochastic multi-proximal method that recovers several existing algorithms as special cases and provides new linear and accelerated sublinear convergence guarantees for nonsmooth convex problems.
Discussion (0). Continue with ORCID to comment.