Zobrazeno 1 - 10
of 1 024
pro vyhledávání: '"Cappe, A."'
Performative learning addresses the increasingly pervasive situations in which algorithmic decisions may induce changes in the data distribution as a consequence of their public deployment. We propose a novel view in which these performative effects
Externí odkaz:
http://arxiv.org/abs/2411.02023
Publikováno v:
Diplomatie, 2024 Sep 01(129), 25-39.
Externí odkaz:
https://www.jstor.org/stable/48793869
Publikováno v:
Transactions on Machine Learning Research Journal, 2024
Motivated by programmatic advertising optimization, we consider the task of sequentially allocating budget across a set of resources. At every time step, a feasible allocation is chosen and only a corresponding random return is observed. The goal is
Externí odkaz:
http://arxiv.org/abs/2210.05222
Autor:
Vicky Stergiopoulos, Hamer Bastidas-Bilbao, Mona Gupta, Daniel Z. Buchman, Donna E. Stewart, Tarek Rajji, Alexander I. F. Simpson, Mary Rose van Kesteren, Vivien Cappe, David Castle, Roslyn Shields, Lisa D. Hawke
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Persons with mental illness as their sole underlying medical condition are eligible to access medical assistance in dying (MAiD) in a small number of countries, including Belgium, the Netherlands, Luxemburg and Switzerland. In Can
Externí odkaz:
https://doaj.org/article/e9dfe7cc66964f2bb1c18d471a92879c
Autor:
Russac, Yoan, Katsimerou, Christina, Bohle, Dennis, Cappé, Olivier, Garivier, Aurélien, Koolen, Wouter
Publikováno v:
NeurIPS 2021, Dec 2021, Virtual, France
Motivated by A/B/n testing applications, we consider a finite set of distributions (called \emph{arms}), one of which is treated as a \emph{control}. We assume that the population is stratified into homogeneous subpopulations. At every time step, a s
Externí odkaz:
http://arxiv.org/abs/2110.15573
Publikováno v:
ACML 2021 - Proceedings of Machine Learning Research 157, 2021, Nov 2021, SIngapore, Singapore
First-price auctions have largely replaced traditional bidding approaches based on Vickrey auctions in programmatic advertising. As far as learning is concerned, first-price auctions are more challenging because the optimal bidding strategy does not
Externí odkaz:
http://arxiv.org/abs/2107.01835
Publikováno v:
ICML 2021- International Conference on Machine Learning, Jul 2021, Vienna- Virtual, Austria
There has been a recent surge of interest in nonparametric bandit algorithms based on subsampling. One drawback however of these approaches is the additional complexity required by random subsampling and the storage of the full history of rewards. Ou
Externí odkaz:
http://arxiv.org/abs/2106.10935
Autor:
Arabolla Rodríguez, Renier, Avila Santos, Manuel, Aliev, Abil E., Walton, Richard I., Tavera Carrasco, Luis A., Pérez Cappe, Eduardo L., González Montiel, Marlene, Pérez Reyes, Edgar O., Della Santina Mohallem, Nelcy, Kashtiban, Reza J., Mosqueda Laffita, Yodalgis, Leyva Insunza, Carolina, Shearing, Paul R., Brett, Dan J.L.
Publikováno v:
In Journal of Alloys and Compounds 25 March 2024 978
Autor:
Jérôme Lichtlé, Emmanuel Devouche, Isaora Zefania Dialahy, Aude deGaulmyn, Anouck Amestoy, Romain Coutelle, Pascale Isnard, Jean‐Louis Monestès, Laurent Mottron, Emilie Cappe
Publikováno v:
International Journal of Methods in Psychiatric Research, Vol 33, Iss 1, Pp n/a-n/a (2024)
Abstract Introduction Early interventions for autistic children should target their quality of life (QoL) but require adapted measures. The association of a child's temperament and parental characteristics with the QoL of autistic children remains un
Externí odkaz:
https://doaj.org/article/11bc2a61065f4c8da4ca4c3591310080
Publikováno v:
ALT 2021, Mar 2021, Paris, France
Developing efficient sequential bidding strategies for repeated auctions is an important practical challenge in various marketing tasks. In this setting, the bidding agent obtains information, on both the value of the item at sale and the behavior of
Externí odkaz:
http://arxiv.org/abs/2011.05072