Aiyou Chen

Aiyou Chen

Aiyou Chen received a B.Sc degree in mathematics from Wuhan University in 1997, M.Sc degree from Peking University in 2000, and a Ph.D. degree in statistics from UC Berkeley in 2004. His Ph.D. dissertation was on semiparametric inference for independent component analysis. He was a Member of Technical Staff at Bell Labs, Murray Hill, NJ, from Aug 2004 to Aug 2010 with research in statistical methodologies and applications mostly with network data. Since then, he works as a Statistician at Google.
Authored Publications
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    Google
Semiparametric Estimation of Treatment Effects in Randomized Experiments
Susan Athey
Peter J. Bickel
Guido W. Imbens
Michael Pollmann
Google LLC (2021)
Data Enriched Linear Regression
Art Owen
Electronic Journal of Statistics, 9 (2015), pp. 1078-1112 (to appear)
Data enrichment for incremental reach estimation
Jim Koehler
Art Owen
Nicolas Remy
Google Inc. (2014), pp. 1-21 (to appear)
Pseudo-likelihood methods for community detection in large sparse networks
Arash A Amini
Peter Bickel
Liza Levina
Annals of Statistics (2013), pp. 1-27
Cluster forest
Donghui Yan
Michael I Jordan
Computational Statistics and Data Analysis, 66 (2013), pp. 178-192
Distinct counting with a self-learning bitmap
Jin Cao
Larry Shepp
Tuan Nguyen
Journal of American Statistical Association, 106 (2011), 879–890
Efficient Spectral Neighborhood Blocking for Entity Resolution
Liangcai Shu
Ming Xiong
Weiyi Meng
International Conference on Data Engineering 2011 (ICDE), IEEE, pp. 1-12