Preprint
Sep 2026
Distributed risk-averse optimization via CVaR
A zeroth-order algorithm is developed that uses sampled losses to construct empirical CVaR estimates and their gradient estimates and establishes a finite-time expected suboptimality bound for the weighted ergodic iterate.
Si-Yi Wang, Kun Huang, Lei Xu et al.
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