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Research map / Learning theory and algorithms / Combinatorial and search optimization

CapsAndRuns: An Improved Method for Approximately Optimal Algorithm Configuration

ICML 2019 · Learning theory and algorithms › Combinatorial and search optimization · approach: Unsupervised neural combinatorial optimization · 16 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace Structured Procrastination/LeapsAndBounds with CapsAndRuns (estimate per-config caps, then Bernstein race)algorithm configuration of minisat · minisat SAT configuration (CNFuzzDD)total CPU time (days): 586 vs 1451 days for LeapsAndBounds, 20643 for Structured ProcrastinationHelped
Use CapsAndRuns instead of LeapsAndBounds across (epsilon, delta) settingsalgorithm configuration of minisat · epsilon in 0.02-0.10, delta in 0.02-0.10ratio of total runtime LeapsAndBounds / CapsAndRunsHelped

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