Zobrazeno 1 - 10
of 307
pro vyhledávání: '"Hu, Yichun"'
Contextual linear optimization (CLO) uses predictive observations to reduce uncertainty in random cost coefficients and thereby improve average-cost performance. An example is a stochastic shortest path with random edge costs (e.g., traffic) and pred
Externí odkaz:
http://arxiv.org/abs/2405.16564
Autor:
Garrard, Mia, Wang, Hanson, Letham, Ben, Singh, Shaun, Kazerouni, Abbas, Tan, Sarah, Wang, Zehui, Huang, Yin, Hu, Yichun, Zhou, Chad, Zhou, Norm, Bakshy, Eytan
Many organizations measure treatment effects via an experimentation platform to evaluate the casual effect of product variations prior to full-scale deployment. However, standard experimentation platforms do not perform optimally for end user populat
Externí odkaz:
http://arxiv.org/abs/2303.17648
Autor:
Wang Jianjun, Yu Zuer, Hu Yichun, Li Fuyu, Huang Xiaoyu, Zhao Xiangyue, Tang Yaqi, Fang Shujuan, Tang Yinjuan
Publikováno v:
Translational Neuroscience, Vol 14, Iss 1, Pp 113438-63 (2023)
Dorsal root injury usually leads to irreversible sensory function loss and lacks effective treatments. (−)-epigallocatechin-3-gallate (EGCG) is reported to exert neuroprotective roles in the nervous systems. However, the function of EGCG in treatin
Externí odkaz:
https://doaj.org/article/81ef38ac581e4356ba53602a132f8fb5
Autor:
Hu, Peiqi, Xiao, Hong, Elmore, Sandra, Agosto-Burgos, Christian, Hu, Yichun, Hogan, Susan L., Ciavatta, Dominic J., Falk, Ronald J., Jennette, J. Charles, Free, Meghan E.
Publikováno v:
In Journal of Autoimmunity July 2024 147
Autor:
Saha, Manish K., Hogan, Susan L., Falk, Ronald J., Barnes, Edward L., Hu, Yichun, Kshirsagar, Abhijit V., Thorpe, Carolyn T.
Publikováno v:
In Kidney Medicine July 2024 6(7)
Autor:
Massicotte-Azarniouch, David, Detwiler, Randal K., Hu, Yichun, Falk, Ronald J., Saha, Manish K., van Duin, David, Hogan, Susan L., Derebail, Vimal K.
Publikováno v:
In American Journal of Kidney Diseases June 2024 83(6):784-793
We study the regret of reinforcement learning from offline data generated by a fixed behavior policy in an infinite-horizon discounted Markov decision process (MDP). While existing analyses of common approaches, such as fitted $Q$-iteration (FQI), su
Externí odkaz:
http://arxiv.org/abs/2102.00479
Incorporating side observations in decision making can reduce uncertainty and boost performance, but it also requires we tackle a potentially complex predictive relationship. While one may use off-the-shelf machine learning methods to separately lear
Externí odkaz:
http://arxiv.org/abs/2011.03030
Autor:
Hu, Yichun, Kallus, Nathan
Dynamic treatment regimes (DTRs) are personalized, adaptive, multi-stage treatment plans that adapt treatment decisions both to an individual's initial features and to intermediate outcomes and features at each subsequent stage, which are affected by
Externí odkaz:
http://arxiv.org/abs/2005.02791
We study a nonparametric contextual bandit problem where the expected reward functions belong to a H\"older class with smoothness parameter $\beta$. We show how this interpolates between two extremes that were previously studied in isolation: non-dif
Externí odkaz:
http://arxiv.org/abs/1909.02553