Matteo Riondato
Orcid: 0000-0003-2523-4420Affiliations:
- Amherst College, MA, USA
According to our database1,
Matteo Riondato
authored at least 45 papers
between 2010 and 2025.
Collaborative distances:
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Bibliography
2025
Polaris: Sampling from the Multigraph Configuration Model with Prescribed Color Assortativity.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025
2024
Statistical and Probabilistic Methods in Algorithmic Data Analysis (Dagstuhl Seminar 24391).
Dagstuhl Reports, 2024
Proceedings of the 19th International Audio Mostly Conference: Explorations in Sonic Cultures, 2024
2023
Data Min. Knowl. Discov., 2023
An impossibility result for Markov Chain Monte Carlo sampling from micro-canonical bipartite graph ensembles.
CoRR, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023
2022
SPEck: mining statistically-significant sequential patterns efficiently with exact sampling.
Data Min. Knowl. Discov., 2022
Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights.
Data Min. Knowl. Discov., 2022
Alice and the Caterpillar: A More Descriptive Null Model for Assessing Data Mining Results.
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
TipTap: Approximate Mining of Frequent <i>k</i>-Subgraph Patterns in Evolving Graphs.
ACM Trans. Knowl. Discov. Data, 2021
Proceedings of the WSDM '21, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019
CaDET: interpretable parametric conditional density estimation with decision trees and forests.
Mach. Learn., 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
2016
Proceedings of the 25th International Conference on World Wide Web, 2016
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
TRIÈST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
VC-Dimension and Rademacher Averages: From Statistical Learning Theory to Sampling Algorithms.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
CoRR, 2013
2012
Efficient Discovery of Association Rules and Frequent Itemsets through Sampling with Tight Performance Guarantees.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the International Conference on Supercomputing, 2012
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
PARMA: a parallel randomized algorithm for approximate association rules mining in MapReduce.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the Fifth Biennial Conference on Innovative Data Systems Research, 2011
2010
Data Min. Knowl. Discov., 2010