Events
FDS FDS/CADMY Colloquium
From Theory to Practice, and Back: Ad Auctions and Online Matching
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Speaker: Aranyak Mehta (Google Research) Distinguished Research Scientist, Market Algorithms team Google Research, Mountain View, CA Thursday, March 6, 2025 4:00PM - 5:00PM Reception to follow.
Location: Yale Institute for Foundations of Data Science, Kline Tower 13th Floor, Room 1327, New Haven, CT 06511 and via Webcast: https://yale.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=7a481c4d-0185-4326-8cba-b27b012f9348 |
Research in Motion Series is co-hosted by the Center for Algorithms, Data, and Market Design at Yale (CADMY) and the Yale Institute for Foundations of Data Science (FDS).
Abstract: We will discuss topics in the area of market algorithms together with their impactful applications, including auctions, autobidding, online allocations, and more recent connections to AI. More broadly, with these examples, I hope to convey the special and distinctive nature of research in industry in this area, with the interplay between the insights and depth of theory and the real-world requirements of practice, with each side informing and driving the other.
Speaker bio: Aranyak Mehta is a Distinguished Research Scientist in the Market Algorithms team at Google Research, Mountain View, CA. His research interests are at the intersection of theoretical computer science and economics, with focus on auctions, online matching, and allocation algorithms, and their connections to machine learning and AI. His work has contributed fundamental results to both the theoretical literature and the practice in these areas.
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