Dawn Woodard

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Shane HendersonProfessor of Operations Research and Information Engineering, Cornell UniversityAdresse e-mail validée de cornell.edu
David S. MattesonProfessor, Statistics & Data Science, Cornell UniversityAdresse e-mail validée de cornell.edu
Moises GoldszmidtDistinguished Engineer at AppleAdresse e-mail validée de apple.com
Bradford WestgateAlma CollegeAdresse e-mail validée de alma.edu
Chiwei YanAssistant Professor, UC BerkeleyAdresse e-mail validée de berkeley.edu
Peter BodikPrincipal Researcher at Microsoft ResearchAdresse e-mail validée de microsoft.com
Eric HorvitzMicrosoftAdresse e-mail validée de microsoft.com
Eoin O'MahonyUber TechnologiesAdresse e-mail validée de cornell.edu
Mark HuberProfessor of Mathematical Sciences, Claremont McKenna CollegeAdresse e-mail validée de ClaremontMcKenna.edu
Aaron SmithAssociate Professor, University of OttawaAdresse e-mail validée de uottawa.ca
Natesh S. PillaiHarvard UniversityAdresse e-mail validée de fas.harvard.edu
Luke BornnCo-Founder and Chief Scientist, Zelus AnalyticsAdresse e-mail validée de stat.harvard.edu
Helin ZhuSenior Manager of Applied Science, UberAdresse e-mail validée de uber.com
Armando FoxUC BerkeleyAdresse e-mail validée de berkeley.edu
David ShmoysProfessor of Operations Research & Information Engineering and of Computer ScienceAdresse e-mail validée de cs.cornell.edu
Somya SinghviAssistant Professor at USC Marshall School of BusinessAdresse e-mail validée de usc.edu
Peter I FrazierAssociate Professor of Operations Research and Information Engineering, Cornell UniversityAdresse e-mail validée de cornell.edu
David RuppertAndrew Schultz Professor of Engineering, Professor of Statistics and Data Science, CornellAdresse e-mail validée de cornell.edu
Ciprian CrainiceanuProfessor of Biostatistics, Johns Hopkins UniversityAdresse e-mail validée de jhsph.edu
Divya SinghviLeonard N Stern School of Business

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Dawn Woodard

Distinguished Engineer, LinkedIn

Adresse e-mail validée de woodardscience.com

AI engineering search & recommendation experiment design and analysis


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Dynamic pricing and matching in ride‐hailing platforms C Yan, H Zhu, N Korolko, D Woodard Naval Research Logistics (NRL) 67 (8), 705-724, 2020	382	2020
Fingerprinting the datacenter: automated classification of performance crises P Bodik, M Goldszmidt, A Fox, DB Woodard, H Andersen Proceedings of the 5th European conference on Computer systems, 111-124, 2010	351	2010
Predicting travel time reliability using mobile phone GPS data D Woodard, G Nogin, P Koch, D Racz, M Goldszmidt, E Horvitz Transportation Research Part C: Emerging Technologies 75, 30-44, 2017	187	2017
Predicting bike usage for new york city’s bike sharing system D Singhvi, S Singhvi, PI Frazier, SG Henderson, E O'Mahony, DB Shmoys, ... Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015	165	2015
Forecasting emergency medical service call arrival rates DS Matteson, MW McLean, DB Woodard, SG Henderson	156	2011
Travel time estimation for ambulances using Bayesian data augmentation BS Westgate, DB Woodard, DS Matteson, SG Henderson The Annals of Applied Statistics, 1139-1161, 2013	145	2013
Conditions for rapid mixing of parallel and simulated tempering on multimodal distributions DB Woodard, SC Schmidler, M Huber	125	2009
A spatio-temporal point process model for ambulance demand Z Zhou, DS Matteson, DB Woodard, SG Henderson, AC Micheas Journal of the American Statistical Association 110 (509), 6-15, 2015	93	2015
Large-network travel time distribution estimation for ambulances BS Westgate, DB Woodard, DS Matteson, SG Henderson European Journal of Operational Research 252 (1), 322-333, 2016	85	2016
Sufficient conditions for torpid mixing of parallel and simulated tempering D Woodard, S Schmidler, M Huber	79	2009
Predicting and utilizing variability of travel times in mapping services D Woodard, EJ Horvitz, G Nogin, PB Koch, D Racz, M Goldszmidt US Patent 10,175,054, 2019	78	2019
Stationarity of generalized autoregressive moving average models DB Woodard, DS Matteson, SG Henderson	68*	2011
The use of a single pseudo-sample in approximate Bayesian computation L Bornn, NS Pillai, A Smith, D Woodard Statistics and Computing 27, 583-590, 2017	51	2017
Reducing wait time of providers of ride services using zone scoring E O'mahony, B Goldman, JM Nickels, L Korsos, C Wilkins, D Woodard, ... US Patent App. 15/018,030, 2017	40	2017
Performance assessment for radiologists interpreting screening mammography DB Woodard, AE Gelfand, WE Barlow, JG Elmore Statistics in medicine 26 (7), 1532-1551, 2007	37	2007
Convergence rate of markov chain methods for genomic motif discovery DB Woodard, JS Rosenthal	19	2013
Hierarchical adaptive regression kernels for regression with functional predictors DB Woodard, C Crainiceanu, D Ruppert Journal of Computational and Graphical Statistics 22 (4), 777-800, 2013	14	2013
Online model-based clustering for crisis identification in distributed computing DB Woodard, M Goldszmidt Journal of the American Statistical Association 106 (493), 49-60, 2011	13	2011
Spatial inference of nitrate concentrations in groundwater DB Woodard, RL Wolpert, MA O’Connell Journal of agricultural, biological, and environmental statistics 15, 209-227, 2010	12	2010
Latent factor regression models for grouped outcomes DB Woodard, TMT Love, SW Thurston, D Ruppert, S Sathyanarayana, ... Biometrics 69 (3), 785-794, 2013	11	2013

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