ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization
Published in Preprint, 2025
We present ZeroShotOpt, a general-purpose, pretrained model for continuous black-box optimization tasks ranging from 2D to 20D.
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The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering
Published in PVLDB, 2024
We introduce the ParClusterers Benchmark Suite (PCBS)—a collection of highly scalable parallel graph clustering algorithms and benchmarking tools that streamline comparing different graph clustering algorithms and implementations.
Recommended citation: Shangdi Yu, Jessica Shi, Jamison Meindl, David Eisenstat, Xiaoen Ju, Sasan Tavakkol, Laxman Dhulipala, Jakub Łącki, Vahab Mirrokni, and Julian Shun. The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering. PVLDB, 18(3): 836- 849, 2024. doi:10.14778/3712221.3712246
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