Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), pp. 8881-8891, 2019.

Cited by: 3|Bibtex|Views53
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Algorithm configuration methods optimize the performance of a parameterized heuristic algorithm on a given distribution of problem instances. Recent work introduced an algorithm configuration procedure ("Structured Procrastination") that provably achieves near optimal performance with high probability and with nearly minimal runtime in th...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments