Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Nathan Kallus"'
Autor:
Angela Zhou, Andrew Koo, Nathan Kallus, Rene Ropac, Richard Peterson, Stephen Koppel, Tiffany Bergin
Publikováno v:
Statistics and Public Policy, Vol 11, Iss 1 (2024)
We conduct an empirical evaluation of the short-term impact of New York’s bail reform on crime. New York State’s Bail Elimination Act went into effect on January 1, 2020, eliminating money bail and pretrial detention for nearly all misdemeanor an
Externí odkaz:
https://doaj.org/article/15abceab86614f80bff12b5e980b0ff8
Autor:
Nathan Kallus, Dimitris Bertsimas
Publikováno v:
INFORMS Journal on Optimization. 5:110-129
We consider data-driven decision making in which data on historical decisions and outcomes are endogenous and lack the necessary features for causal identification (e.g., unconfoundedness or instruments), focusing on data-driven pricing. We study app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41e0604d6272746a370aa98af0843014
https://doi.org/10.1287/ijoo.2022.0077
https://doi.org/10.1287/ijoo.2022.0077
Publikováno v:
Operations Research. 70:3261-3281
Dynamic Personalized Decision Making Beyond the Super-Extrapolatable and Super-Local Cases Contextual bandit problems model the inherent trade-off between exploration and exploitation in personalized decision making in marketing, healthcare, revenue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a3c3e467e71c79d83926e4baad10907
https://doi.org/10.1287/opre.2021.2237
https://doi.org/10.1287/opre.2021.2237
Autor:
Nathan Kallus, Vishal Gupta
Publikováno v:
Management Science. 68:1595-1615
Managing large-scale systems often involves simultaneously solving thousands of unrelated stochastic optimization problems, each with limited data. Intuition suggests that one can decouple these unrelated problems and solve them separately without lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6f379e3a9860f34fe84c0a4de964ec3
https://doi.org/10.1287/mnsc.2020.3933
https://doi.org/10.1287/mnsc.2020.3933
Autor:
Nathan Kallus, Michele Santacatterina
Publikováno v:
Journal of Causal Inference. 10:123-140
In causal inference, a variety of causal effect estimands have been studied, including the sample, uncensored, target, conditional, optimal subpopulation, and optimal weighted average treatment effects. Ad hoc methods have been developed for each est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc1fdcb7b60c13ddb0a41ca265b1d946
https://doi.org/10.1515/jci-2021-0018
https://doi.org/10.1515/jci-2021-0018
Publikováno v:
Adv Neural Inf Process Syst
Contextual bandit algorithms are increasingly replacing non-adaptive A/B tests in e-commerce, healthcare, and policymaking because they can both improve outcomes for study participants and increase the chance of identifying good or even best policies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::582228e3461fabbe7dd447ec2acb5d2c
https://pubmed.ncbi.nlm.nih.gov/35785105
https://pubmed.ncbi.nlm.nih.gov/35785105
Autor:
Nathan Kallus, Angela Zhou
Publikováno v:
Management Science. 67:2870-2890
We study the problem of learning personalized decision policies from observational data while accounting for possible unobserved confounding. Previous approaches, which assume unconfoundedness, that is, that no unobserved confounders affect both the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b4f31dc906dceba1a51ede64d9981f1
https://doi.org/10.1287/mnsc.2020.3699
https://doi.org/10.1287/mnsc.2020.3699
Autor:
Nathan Kallus
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 83:404-409
I study the minimax-optimal design for a two-arm controlled experiment where conditional mean outcomes may vary in a given set. When this set is permutation symmetric, the optimal design is complete randomization, and using a single partition (i.e.,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2e3d906898ae283b1ff304312fe8174
https://doi.org/10.1111/rssb.12412
https://doi.org/10.1111/rssb.12412
Autor:
Nathan Kallus
I provide a rejoinder for discussion of "More Efficient Policy Learning via Optimal Retargeting" to appear in the Journal of the American Statistical Association with discussion by Oliver Dukes and Stijn Vansteelandt; Sijia Li, Xiudi Li, and Alex Lue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dea687d50d4675e64237fa725ad35c02
http://arxiv.org/abs/2012.03130
http://arxiv.org/abs/2012.03130
Publikováno v:
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia. 91
Age is an important patient characteristic that has been correlated with specific outcomes after lumbar spine surgery. We performed a retrospective cohort study to model the effect of age on discharge destination and complications after a 1-level or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7d8cefc670808a560adaa4745d5a2a2
https://pubmed.ncbi.nlm.nih.gov/34373046
https://pubmed.ncbi.nlm.nih.gov/34373046