Introduces APS, an adaptive proximal method achieving O(ε^{-2}) iteration complexity for ε-stationary points of ρ-weakly convex functions with unknown ρ in deterministic and stochastic settings.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Adaptive Proximal Methods for Weakly Convex Optimization with Unknown Parameter: Deterministic and Stochastic Guarantees
Introduces APS, an adaptive proximal method achieving O(ε^{-2}) iteration complexity for ε-stationary points of ρ-weakly convex functions with unknown ρ in deterministic and stochastic settings.