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cs.LG2025
Optimized Learned Count-Min Sketch
Kyosuke Nishishita, Atsuki Sato, Yusuke Matsui
Count-Min Sketch (CMS) is a memory-efficient data structure for estimating the frequency of elements in a multiset. Learned Count-Min Sketch (LCMS) enhances CMS with a machine lear…
cs.DS2025
Cascaded Learned Bloom Filter for Optimizing Model-Filter Size Balance and Fast Rejection
Atsuki Sato, Yusuke Matsui
Recent studies have demonstrated that learned Bloom filters (LBFs), which combine machine learning with the classical Bloom filter, can achieve superior memory efficiency. However,…