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Convex Stochastic Optimization on Convex stochastic optimization problems

0Objective GapKreisler et al. (2024)
-0.040.230.50.77Apr 18, 2026

Evaluation results

MethodLinks
Kreisler et al. (2024)Freeness (L_l / L_v)=✓, Freeness (d0)=✓✗, Requirements (Conditions)=Δ̂(·) : r_ε (≥Δ(·)) ; r_ε (≤d0)2026.040
GRASP-C (Theorem 3)Freeness (L_l / L_v)=✓, Freeness (d0)=✓, Requirements (Conditions)=—2026.040
GRASP-C (Theorem 4)Freeness (L_l / L_v)=✓†, Freeness (d0)=✓, Requirements (Conditions)=ℓ^⋆_ε (≤ℓ(x^⋆))2026.040
Kavis et al. (2019)Freeness (L_l / L_v)=✓†, Freeness (d0)=✗, Requirements (Conditions)=Domain bounded by D2026.041