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Poisoning Attacks on the PGM-index
Atsuki Sato, Martin Aumüller, Yusuke Matsui
The PGM-index (Ferragina and Vinciguerra, VLDB'20) is one of the most practical learned indexes, owing to its theoretical elegance and consistently strong empirical performance. It…
Fast Construction of Learned Count-Min Sketch via Ternary Search
Ryusuke Inami, Yusuke Matsui
The Learned Count-Min Sketch (LCMS) is a learned data structure that estimates element frequencies in a multiset and has been experimentally shown to outperform classical data stru…
PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence
Haruki Yajima, Yusuke Matsui
Tree ensembles are machine learning models with strong predictive performance and interpretability, and remain widely used for tabular data. Standard pruning methods for tree ensem…
Mathematical Foundations of Poisoning Attacks on Linear Regression over Cumulative Distribution Functions
Atsuki Sato, Martin Aumüller, Yusuke Matsui
Learned indexes are a class of index data structures that enable fast search by approximating the cumulative distribution function (CDF) using machine learning models (Kraska et al…