Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Eytan Bakshy"'
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0173851 (2017)
A large-scale experiment during the 2010 U.S. Congressional Election demonstrated a positive effect of an online get-out-the-vote message on real world voting behavior. Here, we report results from a replication of the experiment conducted during the
Externí odkaz:
https://doaj.org/article/39271d201f7049d1bd95397c51687d1a
Publikováno v:
Communications of the ACM. 64:108-116
Online experiments are ubiquitous. As the scale of experiments has grown, so has the complexity of their design and implementation. In response, firms have developed software frameworks for designing and deploying online experiments. Ensuring that ex
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 5:34-41
An individual's personal network — their set of social contacts — is a basic object of study in sociology. Studies of personal networks have focused on their size (the number of contacts) and their composition (in terms of categories such as kin
Autor:
Nanyu Chen, MJ Lee, Brent R. Smith, Somit Gupta, Guillaume Saint Jacques, Peter Forbes, Guido W. Imbens, Ron Kohavi, Ilya Katsev, Joseph Liu, Tommy Guy, Mikael Konutgan, Amir Najmi, James McQueen, Minyong Lee, Mike Curtis, Jeffrey Wong, Reid Andersen, Elena Kunakova, Ya Xu, Weitao Duan, Lukas Vermeer, Pranav Kantawala, Sumita Chandran, Toby Walker, Igor Yashkov, Brian Frasca, Eytan Bakshy, Vivek Trehan, Dominic Coey, Niall Cardin, Moshe Katzwer, Diane Tang, Alex Deng
Publikováno v:
ACM SIGKDD Explorations Newsletter. 21:20-35
Online controlled experiments (OCEs), also known as A/B tests, have become ubiquitous in evaluating the impact of changes made to software products and services. While the concept of online controlled experiments is simple, there are many practical c
Autor:
Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel Jiang, Eytan Bakshy
Black-box heterogeneous treatment effect (HTE) models are increasingly being used to create personalized policies that assign individuals to their optimal treatments. However, they are difficult to understand, and can be burdensome to maintain in a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a2905214019dddb13776c8d522435c4
Publikováno v:
KDD
We develop and analyze empirical Bayes Stein-type estimators for use in the estimation of causal effects in large-scale online experiments. While online experiments are generally thought to be distinguished by their large sample size, we focus on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84805193e940565d791fa6c5d515861a
http://arxiv.org/abs/1904.12918
http://arxiv.org/abs/1904.12918
Publikováno v:
Proceedings of the National Academy of Sciences. 113:7316-7322
Peer effects, in which the behavior of an individual is affected by the behavior of their peers, are central to social science. Because peer effects are often confounded with homophily and common external causes, recent work has used randomized exper
Publikováno v:
CHI
Other repository
Other repository
© 2018 Copyright is held by the owner/author(s). Giving gifts is a fundamental part of human relationships that is being affected by technology. The Internet enables people to give at the last minute and over long distances, and to observe friends g
Autor:
Dean Eckles, Eytan Bakshy
Publikováno v:
arXiv
Peer effects, in which the behavior of an individual is affected by the behavior of their peers, are posited by multiple theories in the social sciences. Other processes can also produce behaviors that are correlated in networks and groups, thereby g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bedd5fbd26b29add87c9337f18215d4
http://arxiv.org/abs/1706.04692
http://arxiv.org/abs/1706.04692
Publikováno v:
Bayesian Anal. 14, no. 2 (2019), 495-519
Randomized experiments are the gold standard for evaluating the effects of changes to real-world systems. Data in these tests may be difficult to collect and outcomes may have high variance, resulting in potentially large measurement error. Bayesian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8b1023194b29ac167cf362567ddd22d