Artigos com autorizações de acesso público - Mohsen BayatiSaiba mais
16 artigos disponíveis publicamente
Matrix completion methods for causal panel data models
S Athey, M Bayati, N Doudchenko, G Imbens, K Khosravi
Journal of the American Statistical Association 116 (536), 1716-1730, 2021
Autorizações: US National Science Foundation, US Department of Defense
Online decision making with high-dimensional covariates
H Bastani, M Bayati
Operations Research 68 (1), 276-294, 2020
Autorizações: US National Science Foundation
Mostly exploration-free algorithms for contextual bandits
H Bastani, M Bayati, K Khosravi
Management Science 67 (3), 1329-1349, 2021
Autorizações: US National Science Foundation
Evidence of upcoding in pay-for-performance programs
H Bastani, J Goh, M Bayati
Management Science 65 (3), 1042-1060, 2019
Autorizações: US National Science Foundation
Data uncertainty in Markov chains: Application to cost-effectiveness analyses of medical innovations
J Goh, M Bayati, SA Zenios, S Singh, D Moore
Operations Research 66 (3), 697-715, 2018
Autorizações: US National Science Foundation
Unreasonable effectiveness of greedy algorithms in multi-armed bandit with many arms
M Bayati, N Hamidi, R Johari, K Khosravi
Advances in Neural Information Processing Systems 33, 1713-1723, 2020
Autorizações: US National Science Foundation
Analysis of medicare pay-for-performance contracts
H Bastani, M Bayati, M Braverman, R Gummadi, R Johari
Available at SSRN 2839143, 2016
Autorizações: US National Science Foundation
On frequentist regret of linear thompson sampling
N Hamidi, M Bayati
arXiv preprint arXiv:2006.06790, 2020
Autorizações: US National Science Foundation
Statistical analysis of a low cost method for multiple disease prediction
M Bayati, S Bhaskar, A Montanari
Statistical methods in medical research 27 (8), 2312-2328, 2018
Autorizações: US National Science Foundation, US Department of Defense
Generating random networks without short cycles
M Bayati, A Montanari, A Saberi
Operations Research 66 (5), 1227-1246, 2018
Autorizações: US National Science Foundation, US Department of Defense
On low-rank trace regression under general sampling distribution
N Hamidi, M Bayati
Journal of Machine Learning Research 23 (321), 1-49, 2022
Autorizações: US National Science Foundation
Frustration with technology and its relation to emotional exhaustion among health care workers: cross-sectional observational study
DS Tawfik, A Sinha, M Bayati, KC Adair, TD Shanafelt, JB Sexton, J Profit
Journal of medical Internet research 23 (7), e26817, 2021
Autorizações: US National Institutes of Health
A general theory of the stochastic linear bandit and its applications
N Hamidi, M Bayati
arXiv preprint arXiv:2002.05152, 2020
Autorizações: US National Science Foundation
Personalizing many decisions with high-dimensional covariates
N Hamidi, M Bayati, K Gupta
Advances in Neural Information Processing Systems 32, 2019
Autorizações: US National Science Foundation
The elliptical potential lemma for general distributions with an application to linear thompson sampling
N Hamidi, M Bayati
Operations Research 71 (4), 1434-1439, 2023
Autorizações: US National Science Foundation
Patient-level clinical expertise enhances prostate cancer recurrence predictions with machine learning
JJ Vallon, N Panjwani, X Ling, S Vij, S Srinivas, J Leppert, M Bayati, ...
medRxiv, 2022.03. 22.22272635, 2022
Autorizações: US National Science Foundation
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