Algorithmic and Mechanism Design Research in Online MArkets

Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness

Autores: Georgios Amanatidis, Georgios Birmpas, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser
Publicado en: Proceedings of the 14th Conference on Web and Internet Economics 2021 (WINE 2021), 2021, Página(s) 149-166, ISBN 9783030946760
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-94676-0_9

Flow Time Scheduling with Uncertain Processing Time

Autores: Yossi Azar, Stefano Leonardi, Noam Touitou
Publicado en: Accepted at the Accepted at the 53rd Annual ACM Symposium on Theory of Computing June 21–25, 2021, (STOC 2021), Rome (virtually), Italy, 2021
Editor: Association for Computing Machinery (ACM)

Single-Sample Prophet Inequalities via Greedy-Ordered Selection

Autores: Constantine Caramanis, Paul Dütting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhäuser
Publicado en: 33rd SODA 2022, 2022, Página(s) 1298-1325, ISBN 978-1-61197-707-3
Editor: ArXiv
DOI: 10.48550/arxiv.2111.03174

Distortion-Oblivious Algorithms for Minimizing Flow Time

Autores: Yossi Azar, Stefano Leonardi, Noam Touitou
Publicado en: Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2022), 2022, Página(s) 252-274
Editor: Society for Industrial and Applied Mathematics (SIAM)
DOI: 10.1137/1.9781611977073.13

Stochastic Bandits for Multi-platform Budget Optimization in Online Advertising

Autores: Vashist Avadhanula, Riccardo Colini-Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman, Okke Schrijvers
Publicado en: Accepted at the The Web Conference 2021 (WWW'21), Ljubljana (virtual), Slovenia, 2021
Editor: Association for Computing Machinery

Learning Double-Compression Video Fingerprints Left from Social-Media Platforms

Autores: Irene Amerini, Aris Anagnostopoulos, Luca Maiano, Lorenzo Ricciardi Celsi
Publicado en: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Editor: IEEE
DOI: 10.1109/icassp39728.2021.9413366

Expansion and Flooding in Dynamic Random Networks with Node Churn

Autores: Luca Becchetti, Andrea Clementi, Francesco Pasquale, Luca Trevisan, Isabella Ziccardi
Publicado en: Proceedings of the 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS 2021), 2021, Página(s) 976-986, ISBN 9781665445139
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/icdcs51616.2021.00097

Single Sample Prophet Inequalities via Greedy-Ordered Selection

Autores: Constantine Caramanis, Paul Dütting, Matthew Faw, Federico Fusco, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhäuser
Publicado en: Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2022), 2022, Página(s) 1298-1325
Editor: Society for Industrial and Applied Mathematics (SIAM)
DOI: 10.1137/1.9781611977073.54

Pandora's Box Problem with Order Constraints

Autores: Shant Boodaghians, Federico Fusco, Philip Lazos, Stefano Leonardi
Publicado en: Proceedings of the 21st ACM Conference on Economics and Computation, 2020, Página(s) 439-458, ISBN 9781450379755
Editor: Association for Computing Machinery (ACM)
DOI: 10.1145/3391403.3399501

Deletion Robust Submodular Maximization over Matroids

Autores: Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
Publicado en: Proceedings of the 39th International Conference on Machine Learning, Edición PMLR 162, 2022, Página(s) 5671-5693
Editor: Proceedings press
DOI: 10.48550/arxiv.2201.13128

A Regret Analysis of Bilateral Trade

Autores: Nicolò Cesa-Bianchi, Tom Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
Publicado en: Proceedings of the 22nd ACM Conference on Economics and Computation (EC21), 2021, Página(s) 289–309, ISBN 9781450385541
Editor: Association for Computing Machinery (ACM)
DOI: 10.1145/3465456.3467645

Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint

Autores: Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhauser
Publicado en: Advances in Neural Information Processing Systems 33 Annual Conference on Neural Information Processing Systems 2020 (NeurIPS 2020), 2020
Editor: Curran Associates, Inc.

Online Revenue Maximization for Server Pricing

Autores: Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta
Publicado en: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020, Página(s) 4106-4112, ISBN 978-0-9992411-6-5
Editor: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2020/568

Biased Opinion Dynamics: When the Devil is in the Details

Autores: Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo
Publicado en: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020, Página(s) 53-59, ISBN 978-0-9992411-6-5
Editor: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2020/8

Collaborative Procrastination

Autores: Aris Anagnostopoulos, Aristides Gionis, Nikos Parotsidis
Publicado en: 10th International Conference on Fun with Algorithms (FUN 2021), Edición 157, 2020, Página(s) 2:1--2:20, ISBN 978-3-95977-145-0
Editor: Schloss Dagstuhl--Leibniz-Zentrum fur Informatik
DOI: 10.4230/lipics.fun.2021.2

An α-regret Analysis of Adversarial Bilateral Trade

Autores: Yossi Azar, Amos Fiat, Federico Fusco
Publicado en: NeurIPS Proceedings 2022, 2022
Editor: NeurIPS
DOI: 10.48550/arxiv.2210.06846

Pandora's Problem with Combinatorial Cost

Autores: Ben Berger, Tomer Ezra, Michal Feldman, Federico Fusco
Publicado en: EC '23: Proceedings of the 24th ACM Conference on Economics and Computation, 2023, Página(s) 273–292
Editor: ACMDL
DOI: 10.1145/3580507.3597699

Fully Dynamic Submodular Maximization over Matroids

Autores: Paul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
Publicado en: Proceedings of the 40th International Conference on Machine Learning, Edición 202, 2023, Página(s) 8821-8835
Editor: MLResearchPress

RPPLNS: Pay-per-Last-N-Shares with a Randomised Twist

Autores: Philip Lazos, Francisco J. Marmolejo-Cossío, Xinyu Zhou, Jonathan Katz
Publicado en: Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS'2021, Virtual Event, United Kingdom), 2021, Página(s) 1569-1571, ISBN 9781450383073
Editor: International Foundation for Autonomous Agents and Multiagent Systems

General Graphs are Easier than Bipartite Graphs: Tight Bounds for Secretary Matching

Autores: Tomer Ezra, Michal Feldman, Nick Gravin, Zhihao Gavin Tang
Publicado en: EC '22: Proceedings of the 23rd ACM Conference on Economics and Computation, 2022, Página(s) 1148–1177
Editor: dl.acm
DOI: 10.1145/3490486.3538290

Truthful Matching with Online Items and Offline Agents

Autores: Michal Feldman, Federico Fusco, Stefano Leonardi, Simon Mauras, Rebecca Reiffenhäuser
Publicado en: 50th International Colloquium on Automata, Languages, and Programming (ICALP 2023), 2023
Editor: Drops
DOI: 10.4230/lipics.icalp.2023.58

Skyline in Crowdsourcing with Imprecise Comparisons

Autores: Aris Anagnostopoulos, Adriano Fazzone, Giacomo Vettraino
Publicado en: Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM2021), 2021, Página(s) 37–46, ISBN 9781450384469
Editor: Association for Computing Machinery (ACM)
DOI: 10.1145/3459637.3482479

RePBubLik: Reducing the Polarized Bubble Radius with Link Insertions

Autores: Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal
Publicado en: Accepted at the 14th International Conference on Web Search and Data Mining (WSDM'21), Jerusalem (virtual), Israel, 2021
Editor: CoRR

Repeated Bilateral Trade Against a Smoothed Adversary

Autores: Nicolò Cesa-Bianchi, Tommaso R. Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
Publicado en: Proceedings of Thirty Sixth Conference on Learning Theory, PMLR, Edición 195, 2023, Página(s) 1095-1130
Editor: MLResearchPress

Optimally Deceiving a Learning Leader in Stackelberg Games

Autores: Georgios Birmpas, Jiarui Gan, Alexandros Hollender, Francisco J. Marmolejo-Cossío, Ninad Rajgopal, Alexandros A. Voudouris
Publicado en: Advances in Neural Information Processing Systems 33 Annual Conference on Neural Information Processing Systems 2020 (NeurIPS 2020), 2020
Editor: Curran Associates, Inc.

Fair Division of Indivisible Goods: A Survey

Autores: Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris
Publicado en: Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), 2022
Editor: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.48550/arxiv.2202.07551

Parallel Contests for Crowdsourcing Reviews: Existence and Quality of Equilibria

Autores: Georgios Birmpas, Lyudmila Kovalchuk, Philip Lazos, Roman Oliynykov
Publicado en: AFT 22, 2022
Editor: ArXiv
DOI: 10.48550/arxiv.2202.04064

FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection

Autores: Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri
Publicado en: International Joint Conference on Neural Networks (IJCNN), 2022
Editor: IEEE
DOI: 10.1109/ijcnn55064.2022.9892739

A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching

Autores: Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris
Publicado en: Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), Edición Vol. 35 No. 6: AAAI-21 Technical Tracks 6, 2021, Página(s) 5078-5085
Editor: AAAI Press

Learning on the Edge: Online Learning with Stochastic Feedback Graphs

Autores: Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi
Publicado en: NeurIPS Proceedings 2022, 2022
Editor: NeurIPS
DOI: 10.48550/arxiv.2210.04229

Distortion-Oblivious Algorithms for Minimizing Flow Time

Autores: Yossi Azar, Stefano Leonardi, Noam Touitou
Publicado en: 33rd SODA 2022, 2022, Página(s) 252-274, ISBN 978-1-61197-707-3
Editor: ArXiv
DOI: 10.48550/arxiv.2109.08424

Fairness in Streaming Submodular Maximization over a Matroid Constraint

Autores: Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski
Publicado en: Proceedings of the 40th International Conference on Machine Learning, Edición 202, 2023, Página(s) 9150-9171
Editor: MLResearchPress

Fair Equilibria in Sponsored Search Auctions: The Advertisers' Perspective

Autores: Georgios Birmpas, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi
Publicado en: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Editor: ArXiv

Algorithms for Hiring and Outsourcing in the Online Labor Market

Autores: Aris Anagnostopoulos, Carlos Castillo, Adriano Fazzone, Stefano Leonardi, Evimaria Terzi
Publicado en: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '18, 2018, Página(s) 1109-1118, ISBN 9781-450355520
Editor: Association for Computing Machinery
DOI: 10.1145/3219819.3220056

Compiling Questions into Balanced Quizzes about Documents

Autores: Cristina Menghini, Jessica Dehler Zufferey, Robert West
Publicado en: Proceedings of the 27th ACM International Conference on Information and Knowledge Management - CIKM '18, 2018, Página(s) 1519-1522, ISBN 9781-450360142
Editor: Association for Computing Machinery
DOI: 10.1145/3269206.3269298

On Coresets for Logistic Regression

Autores: Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David Woodruff
Publicado en: Proceedings of the 32nd International Conference on Neural Information Processing Systems (NeurIPS 2018) 2018, Montréal, CANADA, 2018, Página(s) 6561--6570
Editor: Curran Associates Inc.

An Optimal Truthful Mechanism for the Online Weighted Bipartite Matching Problem

Autores: Rebecca Reiffenhauser
Publicado en: Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019, Página(s) 1982-1993, ISBN 978-1-61197-548-2
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611975482.120

(1 + ∊ )-Approximate Incremental Matching in Constant Deterministic Amortized Time

Autores: Fabrizio Grandoni, Stefano Leonardi, Piotr Sankowski, Chris Schwiegelshohn,, Shay Solomon
Publicado en: Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019, Página(s) 1886-1898, ISBN 978-1-61197-548-2
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611975482.114

Algorithms for Fair Team Formation in Online Labour Marketplaces✱

Autores: Giorgio Barnabò, Adriano Fazzone, Stefano Leonardi, Chris Schwiegelshohn
Publicado en: Companion Proceedings of The 2019 World Wide Web Conference on - WWW '19, 2019, Página(s) 484-490, ISBN 9781-450366755
Editor: Association for Computing Machinery
DOI: 10.1145/3308560.3317587

Oblivious dimension reduction for k -means: beyond subspaces and the Johnson-Lindenstrauss lemma

Autores: Luca Becchetti, Marc Bury, Vincent Cohen-Addad, Fabrizio Grandoni, Chris Schwiegelshohn
Publicado en: Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing - STOC 2019, 2019, Página(s) 1039-1050, ISBN 9781-450367059
Editor: Association for Computing Machinery
DOI: 10.1145/3313276.3316318

Stochastic Graph Exploration

Autores: Aris Anagnostopoulos, Ilan R. Cohen, Stefano Leonardi, Jakub Lacki
Publicado en: 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019), 2019, Patras, Greece, 2019, ISBN 978-3-95977-109-2
Editor: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
DOI: 10.4230/lipics.icalp.2019.136

Envy, Regret, and Social Welfare Loss

Autores: Riccardo Colini-Baldeschi, Stefano Leonardi, Okke Schrijvers, Eric Sodomka
Publicado en: Proceedings of The Web Conference 2020, 2020, Página(s) 2913-2919, ISBN 9781450370233
Editor: ACM
DOI: 10.1145/3366423.3380057

Peeking Behind the Ordinal Curtain: Improving Distortion via Cardinal Queries

Autores: Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Voudouris
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 34/02, 2020, Página(s) 1782-1789, ISSN 2374-3468
Editor: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v34i02.5544

Multiple Birds with One Stone: Beating 1/2 for EFX and GMMS via Envy Cycle Elimination

Autores: Georgios Amanatidis, Evangelos Markakis, Apostolos Ntokos
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 34/02, 2020, Página(s) 1790-1797, ISSN 2374-3468
Editor: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v34i02.5545

Firms Default Prediction with Machine Learning

Autores: Tesi Aliaj, Aris Anagnostopoulos, Stefano Piersanti
Publicado en: Mining Data for Financial Applications - 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers, Edición 11985, 2020, Página(s) 47-59, ISBN 978-3-030-37719-9
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-37720-5_4

Finding a Bounded-Degree Expander Inside a Dense One

Autores: Luca Becchetti, Andrea Clementi, Emanuele Natale, Francesco Pasquale, Luca Trevisan
Publicado en: Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2020, Página(s) 1320-1336, ISBN 978-1-61197-599-4
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611975994.80

Step-By-Step Community Detection in Volume-Regular Graphs

Autores: Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo
Publicado en: 30th International Symposium on Algorithms and Computation (ISAAC 2019), 2019, Shanghai, China, 2019, ISBN 978-3-95977-130-6
Editor: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
DOI: 10.4230/lipics.isaac.2019.20

Affirmative action policies for top-k candidates selection - with an application to the design of policies for university admissions

Autores: Michael Mathioudakis, Carlos Castillo, Giorgio Barnabo, Sergio Celis
Publicado en: Proceedings of the 35th Annual ACM Symposium on Applied Computing, 2020, Página(s) 440-449, ISBN 9781450368667
Editor: ACM
DOI: 10.1145/3341105.3373878

Maximum Nash Welfare and Other Stories About EFX

Autores: Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Hollender, Alexandros A. Voudouris
Publicado en: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020, Página(s) 24-30, ISBN 978-0-9992411-6-5
Editor: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2020/4

Efficient Two-Sided Markets with Limited Information

Autores: Paul Dutting, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhauser
Publicado en: Accepted at the Accepted at the 53rd Annual ACM Symposium on Theory of Computing June 21–25, 2021, (STOC 2021), Rome (virtually), Italy, 2021
Editor: Association for Computing Machinery (ACM)

How Inclusive Are Wikipedia's Hyperlinks in Articles Covering Polarizing Topics?

Autores: Cristina Menghini, Aris Anagnostopoulos, Eli Upfal
Publicado en: Proceedings of the 2021 IEEE International Conference on Big Data (IEEE BigData 2021), 2021, Página(s) 1300-1307, ISBN 9781665445993
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/bigdata52589.2021.9671943

On the Complexity of Conditional DAG Scheduling in Multiprocessor Systems

Autores: Alberto Marchetti-Spaccamela, Nicole Megow, Jens Schloter, Martin Skutella, Leen Stougie
Publicado en: 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020, Página(s) 1061-1070, ISBN 978-1-7281-6876-0
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ipdps47924.2020.00112

Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity

Autores: Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Alberto Marchetti Spaccamela, Rebecca Reiffenhäuser
Publicado en: Proceedings of the 38th International Conference on Machine Learning (ICML 2021), Edición 139, 2021, Página(s) 231-242, ISSN 1938-7228
Editor: Proceedings of Machine Learning Research (PMLR)

Spectral Relaxations and Fair Densest Subgraphs

Autores: Aris Anagnostopoulos, Luca Becchetti, Adriano Fazzone, Cristina Menghini, Chris Schwiegelshohn
Publicado en: Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020, Página(s) 35-44, ISBN 9781450368599
Editor: Association for Computing Machinery (ACM)
DOI: 10.1145/3340531.3412036

Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond

Autores: Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris
Publicado en: 36th Conference on Neural Information Processing Systems NeurlPS, 2022
Editor: ArXiv
DOI: 10.48550/arxiv.2203.01872

Peeking Behind the Ordinal Curtain: Improving Distortion via Cardinal Queries

Autores: Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris
Publicado en: Artificial Intelligence, Edición 296, 2021, Página(s) 103488, ISSN 0004-3702
Editor: Elsevier BV
DOI: 10.1016/j.artint.2021.103488

Step-by-step community detection in volume-regular graphs

Autores: Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo
Publicado en: Theoretical Computer Science, Edición 847, 2020, Página(s) 49-67, ISSN 0304-3975
Editor: Elsevier BV
DOI: 10.1016/j.tcs.2020.09.036

Approximately Efficient Two-Sided Combinatorial Auctions

Autores: Riccardo Colini-Baldeschi, Paul W. Goldberg, Bart de Keijzer, Stefano Leonardi, Tim Roughgarden, Stefano Turchetta
Publicado en: ACM Transactions on Economics and Computation, Edición 8/1, 2020, Página(s) 1-29, ISSN 2167-8375
Editor: Association for Computing Machinery (ACM)
DOI: 10.1145/3381523

Designing Cost-Sharing Methods for Bayesian Games

Autores: George Christodoulou, Stefano Leonardi, Alkmini Sgouritsa
Publicado en: Theory of Computing Systems, Edición 63/1, 2019, Página(s) 4-25, ISSN 1432-4350
Editor: Springer Verlag
DOI: 10.1007/s00224-017-9832-3

Algorithms for fair k-clustering with multiple protected attributes

Autores: Matteo Böhm, Adriano Fazzone, Stefano Leonardi, Cristina Menghini, Chris Schwiegelshohn
Publicado en: Operations Research Letters, Edición 5, 2021, Página(s) 787-789, ISSN 0167-6377
Editor: Elsevier BV
DOI: 10.1016/j.orl.2021.08.011

Multiple birds with one stone: Beating 1/2 for EFX and GMMS via envy cycle elimination

Autores: Georgios Amanatidis, Evangelos Markakis, Apostolos Ntokos
Publicado en: Theoretical Computer Science, Edición 841, 2020, Página(s) 94-109, ISSN 0304-3975
Editor: Elsevier BV
DOI: 10.1016/j.tcs.2020.07.006

Identification of Social-Media Platform of Videos through the Use of Shared Features

Autores: Luca Maiano, Irene Amerini, Lorenzo Ricciardi Celsi, Aris Anagnostopoulos
Publicado en: Journal of Imaging, Edición 7, 2021, Página(s) 140, ISSN 2313-433X
Editor: MDPI AG
DOI: 10.3390/jimaging7080140

Online Revenue Maximization for Server Pricing

Autores: Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta
Publicado en: Autonomous Agents and Multi-Agent Systems, Edición 1, 2022, ISSN 1387-2532
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10458-022-09544-y

Budget Feasible Mechanisms on Matroids

Autores: Stefano Leonardi, Gianpiero Monaco, Piotr Sankowski, Qiang Zhang
Publicado en: Algorithmica, 2020, ISSN 0178-4617
Editor: Springer Verlag
DOI: 10.1007/s00453-020-00781-9

Similarity Search for Dynamic Data Streams

Autores: Marc Bury, Chris Schwiegelshohn, Mara Sorella
Publicado en: IEEE Transactions on Knowledge and Data Engineering, Edición 32/11, 2020, Página(s) 2241-2253, ISSN 1041-4347
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tkde.2019.2916858

Polynomial Time Approximation Schemes for All 1-Center Problems on Metric Rational Set Similarities

Autores: Marc Bury, Michele Gentili, Chris Schwiegelshohn, Mara Sorella
Publicado en: Algorithmica, Edición 83, 2021, Página(s) 1371-1392, ISSN 0178-4617
Editor: Springer Verlag
DOI: 10.1007/s00453-020-00787-3

Find Your Place: Simple Distributed Algorithms for Community Detection

Autores: Luca Becchetti, Andrea E. Clementi, Emanuele Natale, Francesco Pasquale, Luca Trevisan
Publicado en: SIAM Journal on Computing, Edición 49/4, 2020, Página(s) 821-864, ISSN 0097-5397
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1243026

A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching

Autores: Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris
Publicado en: Journal of Artificial Intelligence Research, Edición Vol. 74, 2022, ISSN 1076-9757
Editor: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.12690

Assessment of Community Efforts to Advance Computational Prediction of Protein-Protein Interactions

Autores: Xu-Wen Wang, Lorenzo Madeddu, Kerstin Spirohn, Leonardo Martini, Adriano Fazzone, Luca Becchetti, Thomas P. Wytock, István A. Kovács, Olivér M. Balogh, Bettina Benczik, Mátyás Pétervári, Bence Ágg, Péter Ferdinandy, Loan Vulliard, Jörg Menche, Stefania Colonnese, Manuela Petti, Gaetano Scarano, Francesca Cuomo, Tong Hao, Florent Laval, Luc Willems, Jean-Claude Twizere, Michael A. Calderw
Publicado en: bioRxiv, Edición 2021.09.22.461292, 2021
Editor: Cold Spring Harbor Laboratory
DOI: 10.1101/2021.09.22.461292

Prophet Inequalities for Matching with a Single Sample

Autores: Paul Dütting, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser
Publicado en: CoRR, Edición abs/2104.02050, 2021
Editor: ArXiv
DOI: 10.48550/arxiv.2104.02050

Network and Sequence-Based Prediction of Protein-Protein Interactions

Autores: Leonardo Martini, Adriano Fazzone, Luca Becchetti
Publicado en: CoRR, Edición abs/2107.03694, 2021
Editor: ArXiv
DOI: 10.48550/arxiv.2107.03694

Network Based Approach to Gene Prioritization at Genome-Wide Association Study Loci

Autores: Leonardo Martini, Adriano Fazzone, Michele Gentili, Luca Becchetti, Brian Hobbs
Publicado en: 2022
Editor: ArXiv
DOI: 10.48550/arxiv.2210.16292

NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks

Autores: Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri
Publicado en: CoRR, Edición abs/2110.02775, 2021
Editor: ArXiv
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Editor: arXiv
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