| " Why should you trust my explanation?" understanding uncertainty in LIME explanations Y Zhang, K Song, Y Sun, S Tan, M Udell arXiv preprint arXiv:1904.12991, 2019 | 108 | 2019 |
| Modeling for COVID-19 college reopening decisions: Cornell, a case study PI Frazier, JM Cashore, N Duan, SG Henderson, A Janmohamed, B Liu, ... Proceedings of the National Academy of Sciences 119 (2), e2112532119, 2022 | 60 | 2022 |
| Feasibility of COVID-19 screening for the US population with group testing P Frazier, JM Cashore, Y Zhang https://docs.google.com/document/d …, 2020 | 11 | 2020 |
| Group testing enables asymptomatic screening for covid-19 mitigation: feasibility and optimal pool size selection with dilution effects Y Lin, Y Ren, J Wan, M Cashore, J Wan, Y Zhang, P Frazier, E Zhou arXiv preprint arXiv:2008.06642, 2020 | 9 | 2020 |
| COVID-19 mathematical modeling for Cornell’s fall semester. 2020 JM Cashore, N Duan, A Janmohamed, J Wan, Y Zhang, S Henderson, ... https://people.orie.cornell.edu/pfrazier/COVID_19_Modeling_Jun15.pdf 19, 2020 | 9 | 2020 |
| Modeling the Risk of In-Person Instruction During the Coronavirus Disease 2019 Pandemic B Liu, Y Zhang, SG Henderson, DB Shmoys, PI Frazier INFORMS Journal on Applied Analytics, 2024 | 3* | 2024 |
| Correlation Improves Group Testing: Capturing the Dilution Effect J Wan, Y Zhang, P Frazier arXiv preprint arXiv:2111.07517, 2021 | 2 | 2021 |
| Addendum: COVID-19 mathematical modeling for cornell's fall semester JM Cashore, N Duan, A Janmohamed, J Wan, Y Zhang, S Henderson, ... | 2 | 2020 |
| Safe University Instruction During COVID-19: Simulation, Statistics, and Uncertainty Quantification Y Zhang https://www.proquest.com/docview/3069045407?sourcetype=Dissertations%20 …, 2024 | | 2024 |
| Demographic Confounding Causes Extreme Instances of Lifestyle Politics on Facebook A Ruch, Y Zhang, M Macy arXiv preprint arXiv:2201.06517, 2022 | | 2022 |
| Bayesian Optimization of High-dimensional Outputs with Human Feedback Q Feng, ZJ Lin, Y Zhang, B Letham, J Markovic-Voronov, RR Griffiths, ... NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 0 | | |
Peter I FrazierAssociate Professor of Operations Research and Information Engineering, Cornell UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cornell.edu