Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Shi, Pengyi"'
Overflowing patients to non-primary wards can effectively alleviate congestion in hospitals, while undesired overflow also leads to issues like mismatched service quality. Therefore, we need to trade off between congestion and undesired overflow. Thi
Externí odkaz:
http://arxiv.org/abs/2410.13767
Predictive modeling often faces challenges due to limited data availability and quality, especially in domains where collected features are weakly correlated with outcomes and where additional feature collection is constrained by ethical or practical
Externí odkaz:
http://arxiv.org/abs/2410.04347
In this paper, we study a queueing model that incorporates patient reentrance to reflect patients' recurring requests for nurse care and their rest periods between these requests. Within this framework, we address two levels of decision-making: the p
Externí odkaz:
http://arxiv.org/abs/2406.12135
Motivated by the emerging needs of personalized preventative intervention in many healthcare applications, we consider a multi-stage, dynamic decision-making problem in the online setting with unknown model parameters. To deal with the pervasive issu
Externí odkaz:
http://arxiv.org/abs/2211.08998
Autor:
Shi, Pengyi
Delivering health care services in an efficient and effective way has become a great challenge for many countries due to the aging population worldwide, rising health expenses, and increasingly complex healthcare delivery systems. It is widely recogn
Externí odkaz:
http://hdl.handle.net/1853/50367
The fairness in machine learning is getting increasing attention, as its applications in different fields continue to expand and diversify. To mitigate the discriminated model behaviors between different demographic groups, we introduce a novel post-
Externí odkaz:
http://arxiv.org/abs/2111.04271
Autor:
Pan, Yihan, Xu, Zhenghang, Guang, Jin, Sun, Jingjing, Wang, Chengwenjian, Zhang, Xuanming, Chen, Xinyun, Dai, J. G., Ding, Yichuan, Shi, Pengyi, Pan, Hongxin, Yang, Kai, Wu, Song
We collaborate with a large teaching hospital in Shenzhen, China and build a high-fidelity simulation model for its ultrasound center to predict key performance metrics, including the distributions of queue length, waiting time and sojourn time, with
Externí odkaz:
http://arxiv.org/abs/2104.07451
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
This paper considers stochastic linear bandits with general nonlinear constraints. The objective is to maximize the expected cumulative reward over horizon $T$ subject to a set of constraints in each round $\tau\leq T$. We propose a pessimistic-optim
Externí odkaz:
http://arxiv.org/abs/2102.05295
This paper considers constrained online dispatching with unknown arrival, reward and constraint distributions. We propose a novel online dispatching algorithm, named POND, standing for Pessimistic-Optimistic oNline Dispatching, which achieves $O(\sqr
Externí odkaz:
http://arxiv.org/abs/2010.09995
The ability to perform autonomous exploration is essential for unmanned aerial vehicles (UAV) operating in unstructured or unknown environments where it is hard or even impossible to describe the environment beforehand. However, algorithms for autono
Externí odkaz:
http://arxiv.org/abs/1912.01704