Alexander D'Amour
Alexander D'Amour
Research Scientist, Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
603*2014
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
1242014
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
902016
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 (Cambridge, Mass.) 23 (4), 510, 2012
762012
Overlap in observational studies with high-dimensional covariates
A D’Amour, P Ding, A Feller, L Lei, J Sekhon
Journal of Econometrics, 2020
532020
Prediction-based decisions and fairness: A catalogue of choices, assumptions, and definitions
S Mitchell, E Potash, S Barocas, A D'Amour, K Lum
arXiv preprint arXiv:1811.07867, 2018
482018
Reducing reparameterization gradient variance
A Miller, N Foti, A D'Amour, RP Adams
Advances in Neural Information Processing Systems, 3708-3718, 2017
392017
On multi-cause causal inference with unobserved confounding: Counterexamples, impossibility, and alternatives
A D'Amour
arXiv preprint arXiv:1902.10286, 2019
20*2019
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
162016
Flexible sensitivity analysis for observational studies without observable implications
AM Franks, A D’Amour, A Feller
Journal of the American Statistical Association, 1-33, 2019
152019
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
132015
Improving major league baseball park factor estimates
RA Acharya, AJ Ahmed, AN D'Amour, H Lu, CN Morris, BD Oglevee, ...
Journal of Quantitative Analysis in Sports 4 (2), 2008
102008
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
82020
Misspecification, sparsity, and superpopulation inference for sparse social networks
A D’Amour, E Airoldi
Ongoing work for publication and inclusion in dissertation, 2016
42016
Comment: Reflections on the Deconfounder
A D’Amour
Journal of the American Statistical Association 114 (528), 1597-1601, 2019
32019
Detecting Extrapolation with Local Ensembles
D Madras, J Atwood, A D'Amour
arXiv preprint arXiv:1910.09573, 2019
22019
The effective estimand
A D’Amour, E Airoldi
22017
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
12020
A biologically plausible benchmark for contextual bandit algorithms in precision oncology using in vitro data
NT Rindtorff, MY Lu, NA Patel, H Zheng, A D'Amour
arXiv preprint arXiv:1911.04389, 2019
12019
Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models
A Lin, A Merchant, SK Sarkar, A D’Amour
The 2019 ACM SIGKDD Workshop on Causal Discovery, 50-58, 2019
12019
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Articles 1–20