Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Brian Karrer"'
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 14, Iss 1 (2024)
Sparse histogram methods can be useful for returning differentially private counts of items in large or infinite histograms, large group-by queries, and more generally, releasing a set of statistics with sufficient item counts. We consider the Gaussi
Externí odkaz:
https://doaj.org/article/b7b07a6307f84e5b813e19fdcd82341d
Autor:
Shankar Iyer, Brian Karrer, Daniel T. Citron, Farshad Kooti, Paige Maas, Zeyu Wang, Eugenia Giraudy, Ahmed Medhat, P. Alex Dow, Alex Pompe
Publikováno v:
Epidemics, Vol 42, Iss , Pp 100663- (2023)
To understand and model public health emergencies, epidemiologists need data that describes how humans are moving and interacting across physical space. Such data has traditionally been difficult for researchers to obtain with the temporal resolution
Externí odkaz:
https://doaj.org/article/dbc29e6dbc3c472aa7f80cf71eaab41d
Autor:
Yuhao Li, Abhishek Gupta, Alex Yang, Peinan Chen, Joey Pinto, Brian Karrer, Mayank Pundir, Maximilian Balandat, Arun Kejariwal, Benjamin Lee
Publikováno v:
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f8f3d4c3043fe4b8e542d4da93be925
https://doi.org/10.1145/3578244.3583720
https://doi.org/10.1145/3578244.3583720
Autor:
Monica Bhole, Brian Karrer, Feng Sun, Matt Goldman, Tyrone Palmer, Mikael Konutgan, Charlie Gelman, Liang Shi
Publikováno v:
KDD
We describe our framework, deployed at Facebook, that accounts for interference between experimental units through cluster-randomized experiments. We document this system, including the design and estimation procedures, and detail insights we have ga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc21d1e654b52555a911c21bde871100
http://arxiv.org/abs/2012.08591
http://arxiv.org/abs/2012.08591
Publikováno v:
Proceedings of the VLDB Endowment. 10:1418-1429
We design and implement a distributed algorithm for balanced k -way hypergraph partitioning that minimizes fanout, a fundamental hypergraph quantity also known as the communication volume and ( k - 1)-cut metric, by optimizing a novel objective calle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b7ddf7a7c0b0b6d57f71f832b23d058
https://doi.org/10.14778/3137628.3137650
https://doi.org/10.14778/3137628.3137650
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
Autor:
Sergey Pupyrev, Igor Kabiljo, Brian Karrer, Alon Shalita, Giuseppe Ottaviano, Laxman Dhulipala
Publikováno v:
KDD
Graph reordering is a powerful technique to increase the locality of the representations of graphs, which can be helpful in several applications. We study how the technique can be used to improve compression of graphs and inverted indexes. We extend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e2216952cde90e43ae422acdfa7de50
https://doi.org/10.1145/2939672.2939862
https://doi.org/10.1145/2939672.2939862
Publikováno v:
Physical review letters. 113(20)
We study percolation on networks, which is used as a model of the resilience of networked systems such as the Internet to attack or failure and as a simple model of the spread of disease over human contact networks. We reformulate percolation as a me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::624cba827a8b98ee215c8857ef148d2b
https://pubmed.ncbi.nlm.nih.gov/25432059
https://pubmed.ncbi.nlm.nih.gov/25432059
Publikováno v:
Journal of Causal Inference, Vol 5, Iss 1, Pp 115-136 (2016)
arXiv
arXiv
Estimating the effects of interventions in networks is complicated when the units are interacting, such that the outcomes for one unit may depend on the treatment assignment and behavior of many or all other units (i.e., there is interference). When
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::635f67e907d757dd4c1aea8c9f59b401
Publikováno v:
KDD
A/B testing is a standard approach for evaluating the effect of online experiments; the goal is to estimate the `average treatment effect' of a new feature or condition by exposing a sample of the overall population to it. A drawback with A/B testing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e67a73880246a5effe559425dc02074c
https://doi.org/10.1145/2487575.2487695
https://doi.org/10.1145/2487575.2487695