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pro vyhledávání: '"Long, Jason"'
Autor:
Long, Jason T.1
Publikováno v:
Florida Bar Journal. Nov/Dec2024, Vol. 98 Issue 6, p38-41. 4p.
Counterfactual explanations inform ways to achieve a desired outcome from a machine learning model. However, such explanations are not robust to certain real-world changes in the underlying model (e.g., retraining the model, changing hyperparameters,
Externí odkaz:
http://arxiv.org/abs/2207.02739
Solving general Markov decision processes (MDPs) is a computationally hard problem. Solving finite-horizon MDPs, on the other hand, is highly tractable with well known polynomial-time algorithms. What drives this extreme disparity, and do problems ex
Externí odkaz:
http://arxiv.org/abs/2205.07338
Autor:
Rigter, Marc, Dervovic, Danial, Hassanzadeh, Parisa, Long, Jason, Zehtabi, Parisa, Magazzeni, Daniele
We consider a novel queuing problem where the decision-maker must choose to accept or reject randomly arriving tasks into a no buffer queue which are processed by $N$ identical servers. Each task has a price, which is a positive real number, and a cl
Externí odkaz:
http://arxiv.org/abs/2203.08019
A Qualitative Study of Electronic Patient-Reported Outcome Symptom Monitoring After Thoracic Surgery
Autor:
Boisson-Walsh, Alix, Cox, Chase, O'Leary, Meghan, Shrestha, Sachita, Carr, Philip, Gentry, Amanda L., Hill, Lauren, Newsome, Bernice, Long, Jason, Haithcock, Benjamin, Stover, Angela M., Basch, Ethan, Leeman, Jennifer, Mody, Gita N.
Publikováno v:
In Journal of Surgical Research November 2024 303:744-755
Autor:
Iwai, Yoshiko, Tasoudis, Panagiotis, Agala, Chris B., Khoury, Audrey L., O'Hara Garcia, Danielle N., Long, Jason M.
Publikováno v:
In JTCVS Open October 2024 21:304-312
Autor:
Tasoudis, Panagiotis, Loufopoulos, Georgios, Manaki, Vasiliki, Doerr, Mitchell, Agala, Chris B., Long, Jason M., Haithcock, Benjamin E.
Publikováno v:
In Lung Cancer September 2024 195
Autor:
Lu, Jiamiao, Lee, Jasper, Yuan, Eric, Wakefield, Devin L., Kanke, Matt, Pruitt, Danielle, Barreda, Jose, Rulifson, Ingrid C., Xie, Jiansong, Ferbas, John, Long, Jason, Meade, Bryan, Homann, Oliver, Guo, Wei, Gomes, Tina, Zhou, Hong, Wu, Bin, Cui, Jixin, Wang, Songli
Publikováno v:
In Molecular Therapy - Nucleic Acids 10 December 2024 35(4)
There exist several methods that aim to address the crucial task of understanding the behaviour of AI/ML models. Arguably, the most popular among them are local explanations that focus on investigating model behaviour for individual instances. Severa
Externí odkaz:
http://arxiv.org/abs/2111.00358