Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Maria Dimakopoulou"'
Autor:
Himan Abdollahpouri, Zahra Nazari, Alex Gain, Clay Gibson, Maria Dimakopoulou, Jesse Anderton, Benjamin Carterette, Mounia Lalmas, Tony Jebara
Publikováno v:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining.
Autor:
Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
Publikováno v:
Sixteenth ACM Conference on Recommender Systems.
Publikováno v:
Adv Neural Inf Process Syst
Contextual bandit algorithms are increasingly replacing non-adaptive A/B tests in e-commerce, healthcare, and policymaking because they can both improve outcomes for study participants and increase the chance of identifying good or even best policies
Autor:
Adith Swaminathan, Maria Dimakopoulou, Flavian Vasile, Thorsten Joachims, Olivier Koch, Yves Raimond
Publikováno v:
RecSys
The REVEAL workshop1 focuses on framing the recommendation problem as a one of making personalized interventions, e.g. deciding to recommend a particular item to a particular user. Moreover, these interventions sometimes depend on each other, where a
Publikováno v:
WSDM
The Sparse Linear Method (SLIM) is a well-established approach for top-N recommendations. This article proposes several improvements that are enabled by the Alternating Directions Method of Multipliers (ADMM), a well-known optimization method with ma
Autor:
Yves Raimond, Adith Swaminathan, Olivier Koch, Thorsten Joachims, Maria Dimakopoulou, Flavian Vasile
Publikováno v:
RecSys
The REVEAL workshop1 focuses on framing the recommendation problem as a one of making personalized interventions. Moreover, these interventions sometimes depend on each other, where a stream of interactions occurs between the user and the system, and
Publikováno v:
IJCAI
We introduce a new Thompson sampling-based algorithm, called marginal posterior sampling, for online slate bandits, that is characterized by three key ideas. First, it postulates that the slate-level reward is a monotone function of the marginal unob
Publikováno v:
PIMRC
Consider a wireless networking architecture, where multiple infrastructure access points (AP) dynamically offer (bid) service deals (modes) to a mobile over time. Akin to a market offer, each service deal is comprised of service/quality attributes (e