Riondato, Matteo

7 publications

ECML-PKDD 2025 DiNgHy: Null Models for Non-Degenerate Directed Hypergraphs Maryam Abuissa, Matteo Riondato, Eli Upfal

AAAI 2022 A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract) Alexander W. Lee, Stefan Walzer-Goldfeld, Shukry Zablah, Matteo Riondato

NeurIPS 2020 Sharp Uniform Convergence Bounds Through Empirical Centralization Cyrus Cousins, Matteo Riondato

MLJ 2019 CaDET: Interpretable Parametric Conditional Density Estimation with Decision Trees and Forests Cyrus Cousins, Matteo Riondato

ECML-PKDD 2014 Sampling-Based Data Mining Algorithms: Modern Techniques and Case Studies Matteo Riondato

ECML-PKDD 2012 Efficient Discovery of Association Rules and Frequent Itemsets Through Sampling with Tight Performance Guarantees Matteo Riondato, Eli Upfal

ECML-PKDD 2011 The VC-Dimension of SQL Queries and Selectivity Estimation Through Sampling Matteo Riondato, Mert Akdere, Ugur Çetintemel, Stanley B. Zdonik, Eli Upfal