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<?php include("header.html"); ?>
<!-- vim: set ts=2 sw=2 tw=79: -->
<h2>Publications</h2>
<p><a href="#joursect">Journal articles</a>, <a
href="#confsect">Conference papers</a>, <a href="#techsect">Technical
reports/Abstracts/Posters</a>, <a href="#tutosect">Tutorials</a></p>
<p>Many of the linked PDFs are extended versions of the original
publications.</p>
<p>Here are the <a href="files/bibtexs/riondapubs.bib">BibTeX entries for
my papers</a>.</p>
<p>My publications and citations on: <a
href="https://dblp.uni-trier.de/db/indices/a-tree/r/Riondato:Matteo.html">DBLP</a>,
<a
href="https://scholar.google.com/citations?user=5okzSN0AAAAJ&hl=en">Google
Scholar</a>, <a href="https://www.aminer.org/profile/matteo-riondato/53f4a877dabfaedce5637fe8">AMiner</a>,
<a
href="https://www.researchgate.net/profile/Matteo_Riondato">ResearchGate</a>,
<span itemscope itemtype="https://schema.org/Person"><a itemprop="sameAs"
content="https://orcid.org/0000-0003-2523-4420"
href="https://orcid.org/0000-0003-2523-4420" target="orcid.widget"
rel="noopener noreferrer"><img
src="https://orcid.org/sites/default/files/images/orcid_16x16.png"
style="width:1em;margin-right:.1em;display:inline;" alt="ORCID iD icon" />ORCID</a></span>,
<a href="https://www.scopus.com/authid/detail.uri?authorId=36174276300">Scopus</a>,
<a
href="https://www.semanticscholar.org/author/Matteo-Riondato/3019872?sort=pub-date">SemanticScholar</a>.</p>
<div id="pubs">
<h3 id="joursect">Journal Articles</h3>
<ol id="journals">
<li> G. Preti, G. De Francisci Morales, and M. Riondato.
<a
href="papers/PretiEtAl-ImpossibilityResultButterflies-PRE.pdf">Impossibility
result for Markov chain Monte Carlo sampling from microcanonical
bipartite graph ensembles</a>. <em>Physical Review
E</em>, 109(5):L053301, 2024.</li>
<li>G. Preti, G. De Francisci Morales, and M. Riondato. <a
href="papers/PretiEtAl-ALICE-KAIS.pdf"><span
style="font-variant:small-caps">Alice</span> and the Caterpillar: A
More Descriptive Null Model for Assessing Data Mining Results</a>,
<em>Knowledge and Information Systems</em>, 66(3):1917-1954,
2024.</li>
<li>M. Abuissa, A. Lee, and M. Riondato. <a
href="papers/AbuissaEtAl-ROhAN-DMKD23.pdf"><span
style="font-variant:small-caps">ROhAN</span>: Row-order Agnostic
Null Models for Statistically-sound Knowledge Discovery</a>,
<em>Data Mining and Knowledge Discovery</em>, 37(4):1692–1718,
2023.</li>
<li>G. Preti, G. De Francisci Morales, and M. Riondato. <a
href="papers/PretiEtAl-MaNIACS-TIST.pdf"><span
style="font-variant:small-caps">MaNIACS</span>: Approximate Mining
of Frequent Subgraph Patterns through Sampling</a>, <em>ACM
Transactions on Intelligent Systems and Technology</em>,
14(3):54, 2023.</li>
<li>C. Cousins, C. Wohlgemuth, and M. Riondato. <a
href="papers/CousinsEtAl-Bavarian-TKDD23.pdf"><span
style="font-variant:small-caps">Bavarian</span>: Betweenness
Centrality Approximation with Variance-Aware Rademacher
Averages</a>, <em>ACM Transactions on Knowledge Discovery
from Data</em>, 17(6):78, 2023.</li>
<li>S. Haddadan, C. Menghini, M. Riondato, and E. Upfal. <a
href="papers/HaddadanEtAl-RePBubLik-DMKD.pdf">Reducing
Polarization and Increasing Diverse Navigability in Graph by
Inserting Edges and Swapping Edge Weights</a>, <em>Data Mining and
Knowledge Discovery</em> (S. I. on Bias and Fairness),
36(6):2334–2378, 2022.</li>
<li>S. Jenkins, S. Walzer-Goldfeld, and M. Riondato. <a
href="papers/JenkinsEtAl-SPEck-DMKD22.pdf">SPEck: Mining
Statistically-significant Sequential Patterns Efficiently with
Exact Sampling</a>, <em>Data Mining and Knowledge Discovery</em>,
36(4):1575–1599, 2022.</li>
<li>L. Pellegrina, C. Cousins, F. Vandin, and M. Riondato. <a
href="papers/PellegrinaEtAl-MCRapper-TKDD.pdf">McRapper:
Monte-Carlo Rademacher Averages for Poset Families and Approximate
Pattern Mining</a>, <em>ACM Transactions on Knowledge Discovery
from Data</em>, 16(6):124, 2022.</li>
<li>M. A. U. Nasir, C. Aslay, G. De Francisci Morales, and M.
Riondato. <a href="papers/NasirEtAl-TipTap-TKDD.pdf"><span
style="font-variant:small-caps">TipTap</span>: Approximate Mining
of Frequent 𝑘-Subgraph Patterns in Evolving Graphs</a>, <em>ACM
Transactions on Knowledge Discovery from Data</em>, 15(3):48,
2021.</li>
<li>M. Riondato and F. Vandin. <a
href="papers/RiondatoVandin-MiSoSouP-TKDD.pdf">MiSoSouP:
Mining Interesting Subgroups with Sampling and
Pseudodimension</a>, <em>ACM Transactions on Knowledge Discovery
from Data</em>, 14(5):56, 2020 (S. I. for the best papers of
KDD'18)</li>
<li>S. Servan-Schreiber, M. Riondato, and E. Zgraggen. <a
href="papers/ServanSchreiberEtAl-ProSecCo-KAIS.pdf">ProSecCo:
Progressive Sequence Mining with Convergence Guarantees</a>,
<em>Knowledge and Information Systems</em>, 62(4):1313–1340 (S. I.
for the best papers of ICDM'18)</li>
<li>C. Cousins and M. Riondato <a
href="papers/CousinsRiondato-CaDET-MachLearn.pdf"><span
style="font-variant:small-caps">CaDET</span>: Interpretable
Parametric Conditional Density Estimation with Decision Trees and
Forests</a>, <em>Machine Learning</em>, 108:1631–1634, 2019</li>
<li>M. Riondato and E. Upfal <a
href="papers/RiondatoUpfal-BetweennessRademacherAverages-TKDD.pdf">ABRA:
Approximating Betweenness Centrality in Static and Dynamic Graphs
with Rademacher Averages</a>, <em>ACM Transactions on Knowledge
Discovery from Data</em>, 12(5):61, 2018</li>
<li>L. De Stefani, A. Epasto, M. Riondato, and E. Upfal.
<a href="papers/DeStefaniEtAl-TRIEST-TKDD.pdf">TRIÈST:
Counting Local and Global Triangles in Fully-dynamic Streams with
Fixed Memory Size</a>, <em>ACM Transactions on Knowledge Discovery
from Data</em>, 11(2):43 (S. I. for the best papers of KDD'16),
2017</li>
<li>M. Riondato, D. García-Soriano, and F. Bonchi. <a
href="papers/RiondatoEtAl-GraphSummarization-DMKD.pdf">Graph
Summarization with Quality Guarantees</a>, <em>Data Mining and
Knowledge Discovery</em>, 31(2):314—349, 2017</li>
<li>M. Riondato and E. M. Kornaropoulos. <a
href="papers/RiondatoKornaropoulos-BetweennessSampling-DMKD.pdf">Fast
Approximation of Betweenness Centrality through Sampling</a>, <em>Data
Mining and Knowledge Discovery</em>, 30(2):438—475, 2016</li>
<li>M. Riondato and E. Upfal. <a
href="papers/RiondatoUpfal-FrequentItemsetsSampling-TKDD.pdf">Efficient
Discovery of Association Rules and Frequent Itemsets through Sampling
with Tight Performance Guarantees</a>, <em>ACM Transactions on
Knowledge Discovery from Data</em>, 8(4):20, 2014</li>
<li>A. Pietracaprina, M. Riondato, E. Upfal, and F. Vandin. <a
href="papers/PietracaprinaEtAl-TopKItemsetsProgressiveSampling-DMKD.pdf">Mining
Top-k Frequent Itemsets through Progressive Sampling</a>, <em>Data
Mining and Knowledge Discovery</em>, 21(2):310—326 (S. I. for
the best papers of ECML PKDD'10), 2010</li>
</ol>
<h3 id="confsect">Conference Papers</h3>
<ol id="conferences">
<li>G. Preti, M. Riondato, A. Gionis. G. De Francisci Morales. <a
href="papers/PretiEtAl-Polaris-WSDM/pdf"><span
style="font-variant:small-caps">Polaris</span>: Sampling
from the Multigraph Configuration Model with Prescribed Color
Assortativity</a>, <em>ACM WSDM'25</em>, 2025.</li>
<li>D. Flores-García, H. Flores-García, M. Riondato. <a
href="papers/FloresGarciaEtAl-ClaveNet-AudioMostly.pdf">ClaveNet:
Generating Afro-Cuban Drum Patterns through Data Augmentation</a>,
<em>ACM AudioMostly'24</em>, 2024.</li>
<li>M. Riondato. <a
href="papers/Riondato-StatisticallySoundKDD-CogMI23.pdf">Statistically-sound
Knowledge Discovery from Data: Challenges and Directions</a>,
<em>IEEE CogMI'23</em>, 2023.</li>
<li>M. Riondato. <a
href="papers/Riondato-StatisticallySoundKDD-SDM23.pdf">Statistically-sound
Knowledge Discovery from Data</a>, <em>SIAM SDM'23</em>, 2023.</li>
<li>G. Preti, G. De Francisci Morales, and M. Riondato. <a
href="papers/PretiEtAl-ALICE-ICDM.pdf"><span
style="font-variant:small-caps">Alice</span> and the Caterpillar: A
More Descriptive Null Model for Assessing Data Mining Results</a>,
<em>IEEE ICDM'22</em>, 2022.</li>
<li>G. Preti, G. De Francisci Morales, and M. Riondato. <a
href="papers/PretiEtAl-MaNIACS-TIST.pdf"><span
style="font-variant:small-caps">MaNIACS</span>: Approximate Mining
of Frequent Subgraph Patterns through Sampling</a>, <em>ACM
KDD'21</em>, 2021.</li>
<li>C. Cousins, C. Wohlgemuth, and M. Riondato. <a
href="papers/CousinsEtAl-Bavarian-TKDD23.pdf"><span
style="font-variant:small-caps">Bavarian</span>: Betweenness
Centrality Approximation with Variance-Aware Rademacher
Averages</a>, <em>ACM KDD'21</em>, 2021.</li>
<li>S. Haddadan, C. Menghini, M. Riondato, and E. Upfal. <a
href="papers/HaddadanEtAl-RePBubLik-WSDM.pdf"><span
style="font-variant:small-caps">RePBubLik</span>: Reducing the
Polarized Bubble Radius with Link Insertions</a>, <em>ACM
WSDM'21</em>, 2021.</li>
<li>C. Cousins and M. Riondato. <a
href="papers/CousinsRiondato-UniformConvergenceEmpiricalCentralization-NeurIPS.pdf">Sharp
uniform convergence bounds through empirical centralization</a>,
<em>NeurIPS'20</em>, 2020.</li>
<li>L. Pellegrina, C. Cousins, F. Vandin, and M. Riondato. <a
href="papers/PellegrinaEtAl-MCRapper-TKDD.pdf">McRapper:
Monte-Carlo Rademacher Averages for Poset Families and Approximate
Pattern Mining</a>, <em>ACM KDD'20</em>, 2020.</li>
<li>L. Pellegrina, M. Riondato, and F. Vandin, <a
href="papers/PellegrinaEtAl-SPuManTE-KDD.pdf"><span
style="font-variant:small-caps">SPuManTE</span>: Significant
Pattern Mining with Unconditional Testing</a>, <em>ACM KDD'19</em>,
2019.</li>
<li>S. Servan-Schreiber, M. Riondato, and E. Zgraggen. <a
href="papers/ServanSchreiberEtAl-ProSecCo-KAIS.pdf">ProSecCo:
Progressive Sequence Mining with Convergence Guarantees</a>,
<em>IEEE ICDM'18</em>, 2018</li>
<li>M. Riondato and F. Vandin. <a
href="papers/RiondatoVandin-MiSoSouPExtended-KDD.pdf">MiSoSouP:
Mining Interesting Subgroups with Sampling and
Pseudodimension</a>, <em>ACM KDD'18</em>, 2018</li>
<li>M. Riondato and E. Upfal <a
href="papers/RiondatoUpfal-BetweennessRademacherAverages-TKDD.pdf">ABRA:
Approximating Betweenness Centrality in Static and Dynamic Graphs
with Rademacher Averages</a>, <em>ACM KDD'16</em>, 2016</li>
<li>L. De Stefani, A. Epasto, M. Riondato, and E. Upfal.
<a href="papers/DeStefaniEtAl-TRIEST-TKDD.pdf">TRIÈST:
Counting Local and Global Triangles in Fully-dynamic Streams with
Fixed Memory Size</a>, <em>ACM KDD'16</em>, 2016</li>
<li>A. Mahmoody, M. Riondato, and E. Upfal. <a
href="papers/MahmoodyEtAl-Wiggins-WSDM.pdf">Wiggins: Detecting
Valuable Information in Dynamic Networks with Limited
Resources</a>, <em>ACM WSDM'16</em>, 2016</li>
<li>M. Riondato and E. Upfal. <a
href="papers/RiondatoUpfal-FrequentItemsetsSamplingRademacher-KDD.pdf">Mining
Frequent Itemsets through Progressive Sampling with Rademacher
Averages</a>, <em>ACM KDD'15</em>, 2015, <a
href="https://www.youtube.com/watch?v=E5k51VQVWg8">Presentation
Video</a></li>
<li>A. Anagnastopoulos, L. Becchetti, A. Fazzone, I. Mele, and M.
Riondato. <a
href="papers/AnagnostopoulosEtAl-ExpertsMaxFindingCrowdsourcing.pdf">The
Importance of Being Experts: Efficient Max-Finding in
Crowdsourcing</a>, <em>ACM SIGMOD'15</em>, 2015</li>
<li>M. Riondato, D. García-Soriano, and F. Bonchi. <a
href="papers/RiondatoEtAl-GraphSummarization-DMKD.pdf">Graph
Summarization with Quality Guarantees</a>, <em>IEEE ICDM'14</em>,
2014</li>
<li>M. Riondato. <a
href="papers/Riondato-SamplingDataMining-ECMLPKDD.pdf">Sampling-based
Data Mining Algorithms: Modern Techniques and Case Studies</a>,
<em>ECML PKDD'14</em>, 2014</li>
<li>M. Riondato and F. Vandin. <a
href="papers/RiondatoVandin-TrueFrequentItemsets-SDM.pdf">Finding
the True Frequent Itemsets</a>, <em>SIAM SDM'14</em>, 2014</li>
<li>M. Riondato and E. M. Kornaropoulos. <a
href="papers/RiondatoKornaropoulos-BetweennessSampling-DMKD.pdf">Fast
Approximation of Betweenness Centrality through Sampling</a>,
<em>ACM WSDM'14</em>, 2014</li>
<li>M. Riondato, J. A. DeBrabant, R. Fonseca, and E. Upfal. <a
href="papers/RiondatoEtAl-PARMA-CIKM.pdf">PARMA: A Parallel Randomized
Algorithm for Association Rules Mining in MapReduce</a>, <em>ACM
CIKM'12</em>, 2012</li>
<li>M. Riondato and E. Upfal. <a
href="papers/RiondatoUpfal-FrequentItemsetsSampling-TKDD.pdf">Efficient
Discovery of Association Rules and Frequent Itemsets through
Sampling with Tight Performance Guarantees</a>, <em>ECML
PKDD'12</em>, 2012</li>
<li>A. Pietracaprina, G. Pucci, M. Riondato, F. Silvestri, and E. Upfal.
<a
href="papers/PietracaprinaEtAl-SpaceRoundMapReduce-ICS.pdf">Space-round
Tradeoffs for MapReduce Computations</a>, <em>ACM ICS'12</em>,
2012</li>
<li>M. Akdere, U. Çetintemel, M. Riondato, E. Upfal, and S. B.
Zdonik. <a
href="papers/AkdereEtAl-LearningQueryPerformance-ICDE.pdf">Learning-based
Query Performance Modeling and Prediction</a>, <em>IEEE
ICDE'12</em>, 2012</li>
<li>M. Riondato, M. Akdere, U. Çetintemel, S. B. Zdonik, and
E. Upfal. <a
href="papers/RiondatoEtAl-VCDimensionSQLQueries-ECMLPKDD.pdf">The
VC-dimension of SQL Queries and Selectivity Estimation through
Sampling</a>, <em>ECML PKDD'11</em>, 2011</li>
<li>M. Akdere, U. Çetintemel, M. Riondato, E. Upfal, and S. B.
Zdonik. <a
href="papers/AkdereEtAl-CasePredictiveDatabase-CIDR.pdf">The Case
for Predictive Database Systems: Opportunities and Challenges</a>,
<em>CIDR'11</em>, 2011</li>
</ol>
<h3 id="techsect">Technical Reports, Abstracts, and Posters</h3>
<ol id="techreps">
<li>M. Riondato. Scalable Algorithms for Hypothesis Testing. <em>SIAM
MDS'22</em>, 2022.</li>
<li>A. Lee, S. Walzer-Goldfeld, S. Zablah, and M. Riondato. <a
href="papers/LeeEtAl-AScalableParallelAlgorithmForBalancedSampling-AAAI.pdf">A
Scalable Parallel Algorithm for Balanced Sampling (Student Abstract)</a>.
<em>AAAI'22</em>, 2022 (<a
href="papers/LeeEtAl-AScalableParallelAlgorithmForBalancedSampling-Supplement.pdf">supplement</a>)</li>
<li>M. Riondato. <a
href="papers/Riondato-SharpeRatioEstimationConfidenceIntervalsHypothesisTesting-TSTR.pdf">Sharpe
Ratio: Estimation, Confidence Intervals, and Hypothesis Testing</a>.
Two Sigma Technical Report Series, 2018-001.</li>
</ol>
<h3 id="tutosect">Tutorials</h3>
<ol id="tutorials">
<li>L. Pellegrina, M. Riondato, and F. Vandin, <a
href="statdmtut/">Hypothesis Testing and Statistically-sound Pattern
Mining</a> (<a
href="papers/PellegrinaEtAl-HypTestSigPattTut-KDD19.pdf">2-pager</a>),
<em>ACM KDD'19, SIAM SDM'20</em> (Slides TBD).</li>
<li>F. Bonchi, G. De Francisci Morales, and M. Riondato. <a
href="centrtutorial/">Centrality Measures on Big Graphs: Exact,
Approximated, and Distributed Algorithms</a>, <em>WWW'16</em>. <a
href="/centrtutorial/BonchiDeFrancisciMoralesRiondato-CentralityBigGraphsTutorial-Slides.pdf">Slides</a>.</li>
<li>M. Riondato and E. Upfal. <a
href="https://bigdata.cs.brown.edu/vctutorial/">VC-Dimension and
Rademacher Averages: From Statistical Learning Theory to Sampling
Algorithms</a>, <em>ACM KDD'15, ECML PKDD'15, ACM CIKM'15</em>. <a
href="papers/RiondatoUpfal-VCDimensionRademacherSampling-KDD15.pdf">Outline</a>,
<a
href="papers/RiondatoUpfal-VCDimensionRademachersampling-TutorialPKDD.pdf">Slides</a>,
<a href="https://www.youtube.com/watch?v=dngQYAxXQ_8">Video at
KDD'15 (Part 1)</a>, <a
href="https://www.youtube.com/watch?v=y62guRKC3yU">Video at KDD'15
(Part 2)</a></li>
</ol>
<h3 id="disssect">PhD Dissertation</h3>
<ol id="dissertation">
<li>M. Riondato. <a
href="papers/Riondato-SamplingBasedRandomizedAlgorithms-PhDDissertation.pdf">Sampling-based
Randomized Algorithms for Big Data Analytics</a>, <em>Brown
University Department of Computer Science</em>, 2014</li>
</ol>
<h3 id="othesect">Other technical writings</h3>
<ol id="otherpubs">
<li>M. Riondato, <a
href="https://www.freebsd.org/doc/en_US.ISO8859-1/books/handbook/jails.html">Jails</a>,
in <a href="https://www.freebsd.org/handbook">FreeBSD Handbook</a>.</li>
</ol>
</div>
<h3>Coauthors</h3>
<p class="notop"><a
href="https://cs.brown.edu/people/grad/mabuissa/">Maryam Abuissa</a>,
<a href="https://www.cs.brown.edu/~makdere/">Mert Akdere</a>,
<a href="http://www.aris.me/">Aris Anagnostopoulos</a>, Cigdem Aslay, <a
href="https://www.dis.uniroma1.it/~becchett/">Luca Becchetti</a>, <a
href="http://www.francescobonchi.com/">Francesco Bonchi</a>, <a
href="https://sites.google.com/a/brown.edu/ugur-cetintemel/">Uğur
Çetintemel</a>, <a href="http://cs.brown.edu/~ccousins">Cyrus
Cousins</a> Justin A. DeBrabant, <a href="https://www.gdfm.me/">Gianmarco
De Francisci Morales</a>, Lorenzo De Stefani, <a
href="https://www.cs.brown.edu/~rfonseca/">Rodrigo Fonseca</a>, <a
href="https://www.epasto.org/">Alessandro Epasto</a>, <a
href="http://sites.google.com/site/elhipercubo/">David García
Soriano</a>, <a href="https://www.kth.se/profile/argioni">Aris
Gionis</a>, <a
href="https://sites.google.com/view/shahrzadhaddadan/">Shahrzad
Haddadan</a>, Steedman Jenkins, <a
href="https://kornaropoulos.webflow.io/">Evgenios M.
Kornaropoulos</a>, <a href="https://www.alexanderwlee.com/">Alexander
Lee</a>, <a href="https://www.cs.brown.edu/people/am104/">Ahmad
Mahmoody</a>, <a href="http://hpc.isti.cnr.it/~idamele/">Ida Mele</a>,
<a
href="https://crimenghini.github.io/">Cristina Menghini</a>, Muhammad
Anis Udin Nasir, <a
href="https://www.dei.unipd.it/~pellegri/">Leonardo Pellegrina</a>, <a
href="https://www.dei.unipd.it/~capri/">Andrea Pietracaprina</a>, <a
href="https://giuliapreti.wixsite.com/gpreti">Giulia Preti</a>, <a
href="https://www.dei.unipd.it/~geppo/">Geppino Pucci</a>, <a
href="http://sachaservanschreiber.com/index.html">Sacha
Servan-Schreiber</a>, <a
href="https://www.dei.unipd.it/~silvestri">Francesco Silvestri</a>, <a
href="https://www.cs.brown.edu/~eli/">Eli Upfal</a>, <a
href="https://dei.unipd.it/~vandinfa/">Fabio Vandin</a>, Stefan
Walzer-Goldfeld, <a href="https://www.shukryzablah.com/">Shukry
Zablah</a>, <a href="https://www.cs.brown.edu/~sbz/">Stan B. Zdonik</a>,
<a href="http://emanuelzgraggen.com/">Emanuel Zgraggen</a></p>
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