Zobrazeno 1 - 10
of 949
pro vyhledávání: '"A. Dimakopoulou"'
Autor:
S. Minhas, N. Papanikolaou, S. Abou Sherif, A. Dimakopoulou, O. Holterman, A. Brown, E. Sindi, A. Leeds, G. Frost, W.J. Dhillo, C.N. Jayasena
Publikováno v:
European Urology Open Science, Vol 48, Iss , Pp S19- (2023)
Externí odkaz:
https://doaj.org/article/5082d08b08a24a0f8058588e5e65e3a9
Surrogate index approaches have recently become a popular method of estimating longer-term impact from shorter-term outcomes. In this paper, we leverage 1098 test arms from 200 A/B tests at Netflix to empirically investigate to what degree would deci
Externí odkaz:
http://arxiv.org/abs/2311.11922
Contextual bandits are widely used in industrial personalization systems. These online learning frameworks learn a treatment assignment policy in the presence of treatment effects that vary with the observed contextual features of the users. While pe
Externí odkaz:
http://arxiv.org/abs/2205.04528
Autor:
Federica Nobile, Konstantina Dimakopoulou, Christofer Åström, Fabián Coloma, Payam Dadvand, Jeroen de Bont, Kees de Hoogh, Dorina Ibi, Klea Katsouyanni, Petter Ljungman, Erik Melén, Mark Nieuwenhuijsen, Regina Pickford, Johan Nilsson Sommar, Cathryn Tonne, Roel C. H. Vermeulen, Danielle Vienneau, Jelle J. Vlaanderen, Kathrin Wolf, Evangelia Samoli, Massimo Stafoggia
Publikováno v:
Frontiers in Epidemiology, Vol 4 (2024)
BackgroundMany studies reported associations between long-term exposure to environmental factors and mortality; however, little is known on the combined effects of these factors and health. We aimed to evaluate the association between external exposo
Externí odkaz:
https://doaj.org/article/0869811326004b04ae8e9238baf4ab2d
Autor:
Nobile, Federica1,2 f.nobile@deplazio.it, Dimakopoulou, Konstantina3, Åström, Christofer4, Coloma, Fabián5, Dadvand, Payam5,6,7, de Bont, Jeroen2, de Hoogh, Kees8,9, Ibi, Dorina10, Katsouyanni, Klea3,11, Ljungman, Petter2,12, Melén, Erik13,14, Nieuwenhuijsen, Mark5,6,7, Pickford, Regina15, Sommar, Johan Nilsson4, Tonne, Cathryn5,6,7, Vermeulen, Roel C. H.10, Vienneau, Danielle8,9, Vlaanderen, Jelle J.10, Wolf, Kathrin15, Samoli, Evangelia3
Publikováno v:
Frontiers in Epidemiology. 2024, p1-13. 13p.
Publikováno v:
In European Economic Review June 2024 165
Empirical risk minimization (ERM) is the workhorse of machine learning, whether for classification and regression or for off-policy policy learning, but its model-agnostic guarantees can fail when we use adaptively collected data, such as the result
Externí odkaz:
http://arxiv.org/abs/2106.01723
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
Externí odkaz:
http://arxiv.org/abs/2106.00418
Publikováno v:
In Journal of Business Research April 2024 176
Publikováno v:
In Acta Psychologica April 2024 244