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DTSTART:20170326T030000
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DTSTAMP:20260428T224330Z
UID:589475ef4d4fc061930803@ist.ac.at
DTSTART:20170316T094500
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DESCRIPTION:Speaker: Adish Singla\nAbstract: People are becoming an integra
 l part of computational systems\, fueled primarily by recent technological
  advancements as well as deep-seated economic and societal changes. Conseq
 uently\, there is a pressing need to design new data science and machine l
 earning frameworks that can tackle challenges arising from human participa
 tion (e.g. questions about incentives and users’ privacy) and can leverag
 e people’s capabilities (e.g. ability to learn).\n\nIn this talk\, I will
  share my research efforts at the confluence of people and computing to ad
 dress real-world problems. Specifically\, I will focus on collaborative co
 nsumption systems (e.g. shared mobility systems and sharing economy market
 places like Airbnb) and showcase the need to actively engage users for sha
 ping the demand who would otherwise act primarily in their own interest. T
 he main idea of engaging users is to incentivize them to switch to alterna
 te choices that would improve the system’s effectiveness. To offer optimi
 zed incentives\, I will present novel multi-armed bandit algorithms and on
 line learning methods in structured spaces for learning users’ costs for 
 switching between different pairs of available choices. Furthermore\, to t
 ackle the challenges of data sparsity and to speed up learning\, I will in
 troduce hemimetrics as a structural constraint over users’ preferences. I
  will show experimental results of applying the proposed algorithms on two
  real-world applications: incentivizing users to explore unreviewed hosts 
 on services like Airbnb and tackling the imbalance problem in bike sharing
  systems. In collaboration with an ETH Zurich spinoff and a public transpo
 rt operator in the city of Mainz\, Germany\, we deployed these algorithms 
 via a smartphone app among users of a bike sharing system. I will share th
 e findings from this deployment.
LOCATION:Seminar room Big Ground floor / Office Bldg West (I21.EG.101)\, IS
 TA
ORGANIZER:pdelreal@ist.ac.at
SUMMARY:Adish Singla: Learning With and From People
URL:https://talks-calendar.ista.ac.at/events/351
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