Explore the words cloud of the AMDROMA project. It provides you a very rough idea of what is the project "AMDROMA" about.
The following table provides information about the project.
Coordinator |
UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Organization address contact info |
Coordinator Country | Italy [IT] |
Project website | http://www.diag.uniroma1.it/ERCAMDROMA |
Total cost | 1˙780˙150 € |
EC max contribution | 1˙780˙150 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2017-ADG |
Funding Scheme | ERC-ADG |
Starting year | 2018 |
Duration (year-month-day) | from 2018-07-01 to 2023-06-30 |
Take a look of project's partnership.
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1 | UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA | IT (ROMA) | coordinator | 1˙780˙150.00 |
Online markets currently form an important share of the global economy. The Internet hosts classical markets (real-estate, stocks, e-commerce) as well allowing new markets with previously unknown features (web-based advertisement, viral marketing, digital goods, crowdsourcing, sharing economy). Algorithms play a central role in many decision processes involved in online markets. For example, algorithms run electronic auctions, trade stocks, adjusts prices dynamically, and harvest big data to provide economic information. Thus, it is of paramount importance to understand the algorithmic and mechanism design foundations of online markets.
The algorithmic research issues that we consider involve algorithmic mechanism design, online and approximation algorithms, modelling uncertainty in online market design, and large-scale data analysisonline and approximation algorithms, large-scale optimization and data mining. The aim of this research project is to combine these fields to consider research questions that are central for today's Internet economy. We plan to apply these techniques so as to solve fundamental algorithmic problems motivated by web-basedInternet advertisement, Internet market designsharing economy, and crowdsourcingonline labour marketplaces. While my planned research is focussedcentered on foundational work with rigorous design and analysis of in algorithms and mechanismsic design and analysis, it will also include as an important component empirical validation on large-scale real-life datasets.
year | authors and title | journal | last update |
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2020 |
Matteo Bohm, Adriano Fazzone, Stefano Leonardi, Chris Schwiegelshohn Fair Clustering with Multiple Colors published pages: , ISSN: , DOI: |
CoRR | 2020-03-05 |
2020 |
Paul Dutting, Federico Fusco, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhauser Efficient Two-Sided Markets with Limited Information published pages: , ISSN: , DOI: |
CoRR | 2020-03-05 |
2020 |
Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Hollender, Alexandros A. Voudouris Maximum Nash Welfare and Other Stories About EFX published pages: , ISSN: , DOI: |
CoRR | 2020-03-05 |
2020 |
Shant Boodaghians, Federico Fusco, Philip Lazos, Stefano Leonardi Pandora\'s Box Problem with Order Constraints published pages: , ISSN: , DOI: |
CoRR | 2020-02-20 |
2020 |
Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Voudouris Peeking Behind the Ordinal Curtain: Improving Distortion via Cardinal Queries published pages: , ISSN: , DOI: |
AAAI 2020 | 2020-02-05 |
2019 |
Marc Bury, Elena Grigorescu, Andrew McGregor, Morteza Monemizadeh, Chris Schwiegelshohn, Sofya Vorotnikova, Samson Zhou Structural Results on Matching Estimation with Applications to Streaming published pages: 367-392, ISSN: 0178-4617, DOI: 10.1007/s00453-018-0449-y |
Algorithmica 81/1 | 2019-10-28 |
2019 |
George Christodoulou, Stefano Leonardi, Alkmini Sgouritsa Designing Cost-Sharing Methods for Bayesian Games published pages: 4-25, ISSN: 1432-4350, DOI: 10.1007/s00224-017-9832-3 |
Theory of Computing Systems 63/1 | 2019-10-28 |
2019 |
Chris Schwiegelshohn, Uwe Schwiegelshohn Maximizing Online Utilization with Commitment published pages: , ISSN: , DOI: |
CoRR | 2019-10-28 |
2019 |
Aris Anagnostopoulos, Luca Becchetti, Matteo Böhm, Adriano Fazzone, Stefano Leonardi, Cristina Menghini and Chris Schwiegelshohn Principal Fairness: Removing Bias via Projections published pages: , ISSN: , DOI: |
CoRR | 2019-10-28 |
2019 |
Vincent Cohen-Addad, Niklas Hjuler, Nikos Parotsidis, David Saulpic, Chris Schwiegelshohn Fully Dynamic Consistent Facility Location published pages: , ISSN: , DOI: |
NeurIPS 2019 | 2019-10-28 |
2019 |
Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour and Ruta Mehta Online Revenue Maximization for Server Pricing published pages: , ISSN: , DOI: |
2019-10-28 | |
2019 |
Melanie Schmidt, Chris Schwiegelshohn, Christian Sohler Fair Coresets and Streaming Algorithms for Fair k-Means Clustering published pages: , ISSN: , DOI: |
WAOA | 2019-10-28 |
2019 |
Riccardo Colini-Baldeschi, Stefano Leonardi, Okke Schrijvers and Eric Sodomka Envy, Regret, and Social Welfare Loss published pages: , ISSN: , DOI: |
2019-10-28 | |
2019 |
Marc Bury, Chris Schwiegelshohn, Mara Sorella Similarity Search for Dynamic Data Streams published pages: 1-1, ISSN: 1041-4347, DOI: 10.1109/tkde.2019.2916858 |
IEEE Transactions on Knowledge and Data Engineering | 2019-10-28 |
2018 |
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David Woodruff On Coresets for Logistic Regression published pages: 6561--6570, ISSN: , DOI: |
Advances in Neural Information Processing Systems 31 | 2019-10-28 |
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