Mathias Lécuyer
Mathias Lécuyer

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Bibliometrics: publication history
Average citations per article5.13
Citation Count41
Publication count8
Publication years2013-2017
Available for download7
Average downloads per article387.00
Downloads (cumulative)2,709
Downloads (12 Months)338
Downloads (6 Weeks)26
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8 results found Export Results: bibtexendnoteacmrefcsv

Result 1 – 8 of 8
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1 published by ACM
November 2017 HotNets-XVI: Proceedings of the 16th ACM Workshop on Hot Topics in Networks
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 7,   Downloads (12 Months): 94,   Downloads (Overall): 401

Full text available: PDFPDF
We view randomization through the lens of statistical machine learning: as a powerful resource for offline optimization. Cloud systems make randomized decisions all the time (e.g., in load balancing), yet this randomness is rarely used for optimization after-the-fact. By casting system decisions in the framework of reinforcement learning, we show ...

2
April 2017 WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 4,   Downloads (12 Months): 69,   Downloads (Overall): 224

Full text available: PDFPDF
The idealistic beginnings of the sharing economy made ways to an entrenched battle to win over the public opinion and for law makers to appreciate its benefits and its risks. The stakes are high as the success of services like Airbnb reveals that under-utilized assets (e.g. spare rooms or apartments ...
Keywords: airbnb, measurement, sharing economy, transparency

3 published by ACM
October 2015 CCS '15: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security
Publisher: ACM
Bibliometrics:
Citation Count: 11
Downloads (6 Weeks): 4,   Downloads (12 Months): 39,   Downloads (Overall): 409

Full text available: PDFPDF
We present Sunlight, a system that detects the causes of targeting phenomena on the web -- such as personalized advertisements, recommendations, or content -- at large scale and with solid statistical confidence. Today's web is growing increasingly complex and impenetrable as myriad of services collect, analyze, use, and exchange users' ...
Keywords: measurement, privacy, web transparency

4 published by ACM
June 2015 SIGMETRICS '15: Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 9,   Downloads (Overall): 117

Full text available: PDFPDF
Big Data promises important societal progress but exacerbates the need for due process and accountability. Companies and institutions can now discriminate between users at an individual level using collected data or past behavior. Worse, today they can do so in near perfect opacity. The nascent field of web transparency aims ...
Keywords: web transparency, learning theory, targeting
Also published in:
June 2015  ACM SIGMETRICS Performance Evaluation Review - Performance evaluation review: Volume 43 Issue 1, June 2015

5 published by ACM
April 2015 EuroSys '15: Proceedings of the Tenth European Conference on Computer Systems
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 9,   Downloads (12 Months): 109,   Downloads (Overall): 1,207

Full text available: PDFPDF
The growing demand for data-driven features in today's Web applications -- such as targeting, recommendations, or predictions -- has transformed those applications into complex conglomerates of services operating on each others' data without a coherent, manageable architecture. We present Synapse , an easy-to-use, strong-semantic system for large-scale, data-driven Web service ...

6
August 2014 SEC'14: Proceedings of the 23rd USENIX conference on Security Symposium
Publisher: USENIX Association
Bibliometrics:
Citation Count: 19

Today's Web services - such as Google, Amazon, and Facebook - leverage user data for varied purposes, including personalizing recommendations, targeting advertisements, and adjusting prices. At present, users have little insight into how their data is being used. Hence, they cannot make informed choices about the services they choose. To ...

7 published by ACM
August 2013 SIGCOMM '13: Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 12,   Downloads (Overall): 192

Full text available: PDFPDF
Keywords: disconnection resilience, mobile publishing
Also published in:
September 2013  ACM SIGCOMM Computer Communication Review: Volume 43 Issue 4, October 2013

8 published by ACM
May 2013 WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 6,   Downloads (Overall): 159

Full text available: PDFPDF
The rise of social media and data-capable mobile devices in recent years has transformed the face of global journalism, supplanting the broadcast news anchor with a new source for breaking news: the citizen reporter. Social media's decentralized networks and instant re-broadcasting mechanisms mean that the reach of a single tweet ...
Keywords: disconnection resilience, mobile publishing



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