Zobrazeno 1 - 10
of 272
pro vyhledávání: '"Kuang, Xu"'
Autor:
Kuang, Xu, Mendelson, Gal
Being able to detect service slowdowns is crucial to many operational problems. We study how to use observational congestion data to detect service slowdown in a multi-server system, and in particular, the statistical implications of running adaptive
Externí odkaz:
http://arxiv.org/abs/2401.07305
Real-world applications of contextual bandits often exhibit non-stationarity due to seasonality, serendipity, and evolving social trends. While a number of non-stationary contextual bandit learning algorithms have been proposed in the literature, the
Externí odkaz:
http://arxiv.org/abs/2310.07786
Despite the subject of non-stationary bandit learning having attracted much recent attention, we have yet to identify a formal definition of non-stationarity that can consistently distinguish non-stationary bandits from stationary ones. Prior work ha
Externí odkaz:
http://arxiv.org/abs/2302.12202
We study randomized experiments in a service system when stochastic congestion can arise from temporarily limited supply or excess demand. Such congestion gives rise to cross-unit interference between the waiting customers, and analytic strategies th
Externí odkaz:
http://arxiv.org/abs/2302.12093
Autor:
Mendelson, Gal, Kuang, Xu
Load balancing across parallel servers is an important class of congestion control problems that arises in service systems. An effective load balancer relies heavily on accurate, real-time congestion information to make routing decisions. However, ob
Externí odkaz:
http://arxiv.org/abs/2206.02410
Thompson sampling has proven effective across a wide range of stationary bandit environments. However, as we demonstrate in this paper, it can perform poorly when applied to non-stationary environments. We attribute such failures to the fact that, wh
Externí odkaz:
http://arxiv.org/abs/2205.01970
Autor:
Wang, Fei, Xiong, Ning-Xia, Ou, Jie, Zhong, Zi-Rou, Xie, Qing, Huang, Jin-Fang, Li, Ke-Xin, Huang, Ming-Zhu, Fang, Zi-Xuan, Kuang, Xu-Ying, Qin, Zi-Le, Luo, Sheng-Wei
Publikováno v:
In International Journal of Biological Macromolecules October 2024 278 Part 3
Autor:
Ou, Jie, Xie, Qing, Zhong, Zi-Rou, Wang, Fei, Huang, Ming-Zhu, Fang, Zi-Xuan, Kuang, Xu-Ying, Qin, Zi-Le, Luo, Sheng-Wei
Publikováno v:
In Bioresource Technology September 2024 408
Policy-relevant treatment effect estimation in a marketplace setting requires taking into account both the direct benefit of the treatment and any spillovers induced by changes to the market equilibrium. The standard way to address these challenges i
Externí odkaz:
http://arxiv.org/abs/2109.11647
Autor:
Yao, Zhiping, Bi, Jiang, Deng, Wei, He, Wenlin, Wang, Zihan, Kuang, Xu, Zhou, Mi, Gao, Qinquan, Tong, Tong
Publikováno v:
In Computers & Graphics April 2024 119