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Brian Karrer
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Bio
I’m a research scientist on the Data Science team at Facebook. I received a PhD in physics from University of Michigan and a BA in mathematics and physics from Kenyon College. My current research involves building causal models of user behavior, applying distributed optimization to improve infrastructure systems, and developing experimentation methods for networked environments.
Interests
Statistical physics, complex networks, mathematical epidemiology, causal inference, and experimental design
Interests
Statistical physics, complex networks, mathematical epidemiology, causal inference, and experimental design
Papers34 papers
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Maximilian Balandat,Brian Karrer,Daniel Jiang, Samuel Daulton, Ben Letham,Andrew Gordon Wilson,Eytan Bakshy
NIPS 2020, (2020)
Maximilian Balandat,Brian Karrer,Daniel R. Jiang, Samuel Daulton, Benjamin Letham,Andrew Gordon Wilson,Eytan Bakshy
NeurIPS, (2020)
Bayesian Analysis, no. 2 (2019): 495-519
JOURNAL OF CAUSAL INFERENCE, no. 1 (2017): 1-23
Igor Kabiljo,Brian Karrer, Mayank Pundir,Sergey Pupyrev, Alon Shalita, Yaroslav Akhremtsev, Alessandro Presta
PVLDB, no. 11 (2017): 1418-1429
Tim Danford, Onur Filiz, Jing Huang,Brian Karrer, Manohar Paluri, Guan Pang, Vish Ponnampalam, Nicolás Stier Moses, Birce Tezel
CoRR, (2017)
arXiv: Methodology, (2017)
Alon Shalita,Brian Karrer, Igor Kabiljo, Arun Sharma, Alessandro Presta,Aaron Adcock,Herald Kllapi,Michael Stumm
NSDI, pp.455-468, (2016)
KDD, (2016): 1535-1544
(2015)
Cited by14Bibtex
Physical review letters, no. 20 (2014): 208702-208702
knowledge discovery and data mining, (2013): 329-337
CHI, pp.21-30, (2013)
Physical Review E, (2013)
Bibtex
Physical review. E, Statistical, nonlinear, and soft matter physics, no. 1 Pt 2 (2011): 016107-016107
WWW, pp.517-526, (2011)
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