Vasilis Syrgkanis and Microsoft Research - Free people check

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CSAIL Calendar: Vasilis Syrgkanis: Oracle efficient Learning and...

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Vasilis Syrgkanis: Oracle efficient Learning and Auction Design. Speaker: Vasilis Syrgkanis, Microsoft Research, New England. Date: Tuesday, February 28, Time: 4:00 PM to 5:00 PM. Refreshments: 3:45 PM. Public: Yes. Location: Patil/ Kiva G449. Event Type: Room Description: Host: Aleksander ...

[Colloquium] Reminder: CS Faculty Candidate talk, Monday ,...

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Computer Science Faculty Candidate Colloquium *Title:* Learning in Strategic Environments: Theory and Data *Speaker:* Vasilis Syrgkanis, Microsoft Research NYC *Time/Place:* Monday February 29, 11:30am, 750 CEPSR * Abstract:* The strategic interaction of multiple parties with different objectives is at the heart of ...

Dynamically Aggregating Diverse Information by Annie Liang ...papers.ssrn.com › sol3 › papers

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Vasilis Syrgkanis. Microsoft Corporation - Microsoft Research New England. Date Written: June 5, Abstract. An agent has access to multiple ...

Vasilis Syrgkanis, Microsoft Research, NY

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14. MichalFeldman, Uriel Feige, NicoleImmorlica, Rani Izsak, BrendanLucier, Vasilis Syrgkanis A Uniﬁying Hierarchy of Valuations with Complements and Substitutes

Award-winning theory from Microsoft researcher goes beyond famous...

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Posted by George Thomas Jr. Microsoft researcher Vasilis Syrgkanis and two colleagues this week unveiled a new approach to understanding and optimizing online …

Vasilis Syrgkanis | LinkedIn

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largest business network, helping professionals like Vasilis Syrgkanis discover ...

Vasilis Syrgkanis - Google 학술검색 서지정보 - Google Scholar

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Rani IzsakWeizmann Institute of Scienceweizmann.ac.il의 이메일 확인됨. Alekh AgarwalMicrosoft Researchmicrosoft.com의 이메일 확인됨. 모두 보기. 팔로우. Vasilis Syrgkanis. Microsoft Research. microsoft.com의 이메일 확인됨 - 홈페이지 · AlgorithmsGame TheoryMachine LearningMechanism DesignEconometrics.

RESEARCH STATEMENT VASILIS SYRGKANIS. Microsoft Research, NYC,...

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1 RESEARCH STATEMENT VASILIS SYRGKANIS My research lies at the intersection of theoretical computer science, machine learning and economics. It aims at understanding the foundations of large scale computer systems where strategic users interact. I strive for data-driven methodologies that utilize the large ...