Zobrazeno 1 - 10
of 2 933
pro vyhledávání: '"Wang, Siyu"'
Autor:
Ma, Yutao, Wang, Siyu
This paper focuses on rare events associated with the tail probabilities of the extremal eigenvalues in the $\beta$-Jacobi ensemble, which plays a critical role in both multivariate statistical analysis and statistical physics. Under the ultra-high d
Externí odkaz:
http://arxiv.org/abs/2409.16873
Autor:
Ma, Yutao, Wang, Siyu
In this paper, we consider the tail probabilities of extremals of $\beta$-Jacobi ensemble which plays an important role in multivariate analysis. The key steps in constructing estimators rely on the rate functions of large deviations. Therefore, unde
Externí odkaz:
http://arxiv.org/abs/2409.16868
Autor:
Ma, Yutao, Wang, Siyu
Consider the chiral non-Hermitian random matrix ensemble with parameters $n$ and $v,$ and let $(\zeta_i)_{1\le i\le n}$ be its $n$ eigenvalues with positive $x$-coordinate. In this paper, we establish deviation probabilities and moderate deviation pr
Externí odkaz:
http://arxiv.org/abs/2409.16755
Autor:
Liu, Jiayu, Zhan, Jie, Li, Tongrui, Liu, Jishan, Cheng, Shufan, Shi, Yuming, Deng, Liwei, Zhang, Meng, Li, Chihao, Ding, Jianyang, Jiang, Qi, Ye, Mao, Liu, Zhengtai, Jiang, Zhicheng, Wang, Siyu, Li, Qian, Xie, Yanwu, Wang, Yilin, Qiao, Shan, Wen, Jinsheng, Sun, Yan, Shen, Dawei
Rutile RuO$_2$ has been posited as a potential $d$-wave altermagnetism candidate, with a predicted significant spin splitting up to 1.4 eV. Despite accumulating theoretical predictions and transport measurements, direct spectroscopic observation of s
Externí odkaz:
http://arxiv.org/abs/2409.13504
Autor:
Wang, Siyu
Linear discriminant analysis (LDA), a traditional classification tool, suffers from limitations such as sensitivity to noise and computational challenges when dealing with non-invertible within-class scatter matrices. Traditional stepwise LDA framewo
Externí odkaz:
http://arxiv.org/abs/2409.03136
In Reinforcement Learning-based Recommender Systems (RLRS), the complexity and dynamism of user interactions often result in high-dimensional and noisy state spaces, making it challenging to discern which aspects of the state are truly influential in
Externí odkaz:
http://arxiv.org/abs/2407.13091
This study presents a lightweight, wearable fingertip haptic device that provides physics-based haptic feedback for dexterous manipulation in virtual environments without hindering real-world interactions. The device's design utilizes thin strings an
Externí odkaz:
http://arxiv.org/abs/2406.16835
Reinforcement learning-based recommender systems have recently gained popularity. However, due to the typical limitations of simulation environments (e.g., data inefficiency), most of the work cannot be broadly applied in all domains. To counter thes
Externí odkaz:
http://arxiv.org/abs/2406.00725
Autor:
Li, Junkai, Wang, Siyu, Zhang, Meng, Li, Weitao, Lai, Yunghwei, Kang, Xinhui, Ma, Weizhi, Liu, Yang
In this paper, we introduce a simulacrum of hospital called Agent Hospital that simulates the entire process of treating illness. All patients, nurses, and doctors are autonomous agents powered by large language models (LLMs). Our central goal is to
Externí odkaz:
http://arxiv.org/abs/2405.02957
Offline reinforcement learning (RL) presents distinct challenges as it relies solely on observational data. A central concern in this context is ensuring the safety of the learned policy by quantifying uncertainties associated with various actions an
Externí odkaz:
http://arxiv.org/abs/2403.17646