# Constrained Online Convex Optimization on COCO (Specific Conditions) Source: [Constrained Online Convex Optimization on COCO (Specific Conditions)]() Collection index: [llms.txt]() Data updated: 2026-07-01T08:01:20.790Z Evaluation of Constrained Online Convex Optimization algorithms on the COCO setting, focusing on performance across specific adversarial, stochastic, and constraint-free scenarios. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Constrained Online Convex Optimization | | Dataset (including any stated split) | Constrained Online Convex Optimization (COCO) | | Metric | Stochastic Performance (Exp.) | | Unit | SCALAR | | Direction | Lower is better | | Results loaded | 0 of 0 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Stochastic Performance (Exp.)](): Lower is better; unit: SCALAR. - [Stochastic Performance (H.P.)](): Lower is better; unit: SCALAR. - [Adversarial Performance](): Lower is better; unit: SCALAR. - [Performance w/o Slater Condition](): Lower is better; unit: SCALAR. - [Specific Constraint Metric (S.C.)](): Lower is better; unit: SCALAR. - [Anytime Performance](): Lower is better; unit: SCALAR. ## Recorded results | Method | Stochastic Performance (Exp.) | Result date | Report paper | | --- | --- | --- | --- | Page 1 of 1. This is an index page, not the full collection.