Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Liu, Sifan"'
Autor:
Liu, Sifan
Langevin Monte Carlo (LMC) and its stochastic gradient versions are powerful algorithms for sampling from complex high-dimensional distributions. To sample from a distribution with density $\pi(\theta)\propto \exp(-U(\theta)) $, LMC iteratively gener
Externí odkaz:
http://arxiv.org/abs/2309.12664
Autor:
Liu, Sifan
Inference after model selection presents computational challenges when dealing with intractable conditional distributions. Markov chain Monte Carlo (MCMC) is a common method for sampling from these distributions, but its slow convergence often limits
Externí odkaz:
http://arxiv.org/abs/2308.10346
Owing to the promising ability of saving hardware cost and spectrum resources, integrated sensing and communication (ISAC) is regarded as a revolutionary technology for future sixth-generation (6G) networks. The mono-static ISAC systems considered in
Externí odkaz:
http://arxiv.org/abs/2305.10800
Autor:
Liu, Sifan, Panigrahi, Snigdha
As datasets grow larger, they are often distributed across multiple machines that compute in parallel and communicate with a central machine through short messages. In this paper, we focus on sparse regression and propose a new procedure for conducti
Externí odkaz:
http://arxiv.org/abs/2301.06162
Autor:
Liu, Sifan1 (AUTHOR), Wang, Shidong2 (AUTHOR), Zhang, Nan1 (AUTHOR) zhangnan_2020@126.com, Li, Peng1 (AUTHOR) lipeng@ccmu.edu.cn
Publikováno v:
Journal of Oral Microbiology. 2024, Vol. 16 Issue 1, p1-29. 29p.
Autor:
Liu, Sifan
Conditional Monte Carlo or pre-integration is a powerful tool for reducing variance and improving the regularity of integrands when using Monte Carlo and quasi-Monte Carlo (QMC) methods. To select the variable to pre-integrate, one must consider both
Externí odkaz:
http://arxiv.org/abs/2212.13232
Reconfigurable intelligent surface (RIS) is a revolutionary technology for sixth-generation (6G) networks owing to its ability to manipulate wireless environments. As a frequency-selective device, RIS can only effectively shape the propagation of sig
Externí odkaz:
http://arxiv.org/abs/2210.17260
Autor:
Ren, Haiwei, Huang, Yu, Yang, Weixia, Ling, Zhe, Liu, Sifan, Zheng, Shiyu, Li, Siqi, Wang, Yu, Pan, Lichao, Fan, Wenguang, Zheng, Yi
Publikováno v:
In International Journal of Biological Macromolecules October 2024 277 Part 4
Conditional selective inference requires an exact characterization of the selection event, which is often unavailable except for a few examples like the lasso. This work addresses this challenge by introducing a generic approach to estimate the selec
Externí odkaz:
http://arxiv.org/abs/2203.14504
Autor:
Liu, Sifan, Owen, Art B.
Pre-integration is an extension of conditional Monte Carlo to quasi-Monte Carlo and randomized quasi-Monte Carlo. It can reduce but not increase the variance in Monte Carlo. For quasi-Monte Carlo it can bring about improved regularity of the integran
Externí odkaz:
http://arxiv.org/abs/2202.02682