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ResearchFormerly WizWand

Parameterized Optimization

Benchmarks

DatasetSOTA methodMetricTrendResultsLast updated

Nonconvex NLP alpha = 10, k = 1 (train and val)

-4.098Avg. Objective Value

5

May 4, 2026

Convex NLP alpha = 100, k = 5 (train, val)

113.2Average Objective Value

5

May 4, 2026

Convex QCQP alpha = 10, k = 5 (train and val)

2.583Average Objective Value

5

May 4, 2026

Convex QP alpha=10, k=1 (train and val)

-18.1Avg Objective Value

5

May 4, 2026