Alexander D'Amour

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Avi FellerUC BerkeleyDirección de correo verificada de berkeley.edu
Lee FlemingFounding and Emeritus Director, Fung Institute for Engineering Leadership; Haas Business SchoolDirección de correo verificada de berkeley.edu
Luke BornnCo-Founder and Chief Scientist, Zelus AnalyticsDirección de correo verificada de stat.harvard.edu
Amy Zhao YuMIT Media LabDirección de correo verificada de media.mit.edu
Alexander FranksDepartment of Statistics and Applied Probability, University of California Santa BarbaraDirección de correo verificada de pstat.ucsb.edu
Jasjeet SekhonEugene Meyer Professor of Data Science, Political Science, and Statistics, Yale UniversityDirección de correo verificada de yale.edu
Vetle I. TorvikAssociate Professor, School of Information Sciences, University of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
David DoolinDirección de correo verificada de berkeley.edu
LIHUA LEIStanford UniversityDirección de correo verificada de stanford.edu
Marc LipsitchDepartment of Epidemiology, Harvard School of Public HealthDirección de correo verificada de hsph.harvard.edu
Andrew C. MillerResearch Scientist, AppleDirección de correo verificada de apple.com
Daniel M WeinbergerYale UniversityDirección de correo verificada de yale.edu
Eric J Tchetgen TchetgenUniversity ProfessorDirección de correo verificada de wharton.upenn.edu
Ryan P. AdamsPrinceton UniversityDirección de correo verificada de princeton.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityDirección de correo verificada de fas.harvard.edu
Carl N MorrisProfessor of Statistics, Harvard UniversityDirección de correo verificada de stat.harvard.edu

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Alexander D'Amour

Research Scientist, Google DeepMind

Dirección de correo verificada de google.com - Página principal

Statistics Machine Learning Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Disambiguation and co-authorship networks of the US patent inventor database (1975–2010) GC Li, R Lai, A D’Amour, DM Doolin, Y Sun, VI Torvik, ZY Amy, L Fleming Research Policy 43 (6), 941-955, 2014	794*	2014
Underspecification presents challenges for credibility in modern machine learning A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ... Journal of Machine Learning Research 23 (226), 1-61, 2022	740	2022
Algorithmic fairness: Choices, assumptions, and definitions S Mitchell, E Potash, S Barocas, A D'Amour, K Lum Annual review of statistics and its application 8 (1), 141-163, 2021	695*	2021
Fairness is not static: deeper understanding of long term fairness via simulation studies A D'Amour, H Srinivasan, J Atwood, P Baljekar, D Sculley, Y Halpern Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020	255	2020
Overlap in observational studies with high-dimensional covariates A D’Amour, P Ding, A Feller, L Lei, J Sekhon Journal of Econometrics 221 (2), 644-654, 2021	236	2021
Pointwise: Predicting points and valuing decisions in real time with nba optical tracking data D Cervone, A D’amour, L Bornn, K Goldsberry Proceedings of the 8th MIT Sloan Sports Analytics Conference, Boston, MA …, 2014	220	2014
Evaluating prediction-time batch normalization for robustness under covariate shift Z Nado, S Padhy, D Sculley, A D'Amour, B Lakshminarayanan, J Snoek arXiv preprint arXiv:2006.10963, 2020	214	2020
A multiresolution stochastic process model for predicting basketball possession outcomes D Cervone, A D’Amour, L Bornn, K Goldsberry Journal of the American Statistical Association 111 (514), 585-599, 2016	197	2016
Counterfactual invariance to spurious correlations in text classification V Veitch, A D'Amour, S Yadlowsky, J Eisenstein Advances in neural information processing systems 34, 16196-16208, 2021	153	2021
On robustness and transferability of convolutional neural networks J Djolonga, J Yung, M Tschannen, R Romijnders, L Beyer, A Kolesnikov, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	144	2021
Estimating rates of carriage acquisition and clearance and competitive ability for pneumococcal serotypes in Kenya with a Markov transition model M Lipsitch, O Abdullahi, A D'Amour, W Xie, DM Weinberger, ET Tchetgen, ... Epidemiology 23 (4), 510-519, 2012	112	2012
Flexible sensitivity analysis for observational studies without observable implications AM Franks, A D’Amour, A Feller Journal of the American Statistical Association, 2020	109	2020
On multi-cause causal inference with unobserved confounding: Counterexamples, impossibility, and alternatives A D'Amour arXiv preprint arXiv:1902.10286, 2019	94*	2019
Reducing reparameterization gradient variance A Miller, N Foti, A D'Amour, RP Adams Advances in Neural Information Processing Systems 30, 2017	89	2017
The multiberts: Bert reproductions for robustness analysis T Sellam, S Yadlowsky, J Wei, N Saphra, A D'Amour, T Linzen, J Bastings, ... arXiv preprint arXiv:2106.16163, 2021	85	2021
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings J Schrouff, N Harris, S Koyejo, IM Alabdulmohsin, E Schnider, ... Advances in Neural Information Processing Systems 35, 19304-19318, 2022	83*	2022
Causally motivated shortcut removal using auxiliary labels M Makar, B Packer, D Moldovan, D Blalock, Y Halpern, A D’Amour International Conference on Artificial Intelligence and Statistics, 739-766, 2022	64	2022
Meta-analytics: tools for understanding the statistical properties of sports metrics AM Franks, A D’Amour, D Cervone, L Bornn Journal of Quantitative Analysis in Sports 12 (4), 151-165, 2016	56	2016
Move or die: How ball movement creates open shots in the NBA A D’Amour, D Cervone, L Bornn, K Goldsberry Sloan Sports Analytics Conference, 2015	29	2015
Detecting underspecification with local ensembles D Madras, J Atwood, A D'Amour arXiv preprint arXiv:1910.09573, 2019	25*	2019

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