Zobrazeno 1 - 10
of 6 344
pro vyhledávání: '"Richard, Y"'
Autor:
Guzel, Iven, Zhang, Richard Y.
To estimate accurate voltage phasors from inaccurate voltage magnitude and complex power measurements, the standard approach is to iteratively refine a good initial guess using the Gauss-Newton method. But the nonconvexity of the estimation makes the
Externí odkaz:
http://arxiv.org/abs/2409.12828
Autor:
Chiu, Hong-Ming, Zhang, Richard Y.
We describe how the low-rank structure in an SDP can be exploited to reduce the per-iteration cost of a convex primal-dual interior-point method down to $O(n^{3})$ time and $O(n^{2})$ memory, even at very high accuracies. A traditional difficulty is
Externí odkaz:
http://arxiv.org/abs/2407.14013
Autor:
Chen, Richard Y.
This paper resolves a pivotal open problem on nonparametric inference for nonlinear functionals of volatility matrix. Multiple prominent statistical tasks can be formulated as functionals of volatility matrix, yet a unified statistical theory of gene
Externí odkaz:
http://arxiv.org/abs/2404.00606
Autor:
Reagan M. Barnett, Albert Jang, Sree Lanka, PIngfu Fu, Leslie A. Bucheit, Hani Babiker, Alan Bryce, Haley M. Meyer, Yujin Choi, Casey Moore, Rohan Garje, Xin Gao, Dae Won Kim, Richard Y. Chang, Pat Gulhati, Ryne Ramaker, Rani Bansal, Tian Zhang, A. Oliver Sartor, Andrew J. Armstrong, Mehmet A. Bilen, Pedro Barata
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-7 (2024)
Abstract Background Breast and prostate tumors are known to be less responsive to immune checkpoint inhibitors (ICIs). Tissue-based tumor mutation burden (tTMB) has emerged as a predictive biomarker of response to ICIs, including in these “cold tum
Externí odkaz:
https://doaj.org/article/bec170d452674488b50867efdc8a48c0
Autor:
Máire Ní Leathlobhair, Anna Frangou, Ben Kinnersley, Alex J. Cornish, Daniel Chubb, Eszter Lakatos, Prabhu Arumugam, Andreas J. Gruber, Philip Law, Avraam Tapinos, G. Maria Jakobsdottir, Iliana Peneva, Atef Sahli, Evie M. Smyth, Richard Y. Ball, Rushan Sylva, Ksenija Benes, Dan Stark, Robin J. Young, Alexander T. J. Lee, Vincent Wolverson, Richard S. Houlston, Alona Sosinsky, Andrew Protheroe, Matthew J. Murray, David C. Wedge, Clare Verrill, Testicular Cancer Genomics England Clinical Interpretation Partnership Consortium, Genomics England Research Consortium
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Testicular germ cell tumours (TGCT), which comprise seminoma and non-seminoma subtypes, are the most common cancers in young men. In this study, we present a comprehensive whole genome sequencing analysis of adult TGCTs. Leveraging samples f
Externí odkaz:
https://doaj.org/article/3166ff5b046047609d385f398ae3f157
Autor:
Zhang, Richard Y.
Publikováno v:
Mathematical Programming, 2024
If a sparse semidefinite program (SDP), specified over $n\times n$ matrices and subject to $m$ linear constraints, has an aggregate sparsity graph $G$ with small treewidth, then chordal conversion will sometimes allow an interior-point method to solv
Externí odkaz:
http://arxiv.org/abs/2306.15288
$K$-means clustering is a widely used machine learning method for identifying patterns in large datasets. Recently, semidefinite programming (SDP) relaxations have been proposed for solving the $K$-means optimization problem, which enjoy strong stati
Externí odkaz:
http://arxiv.org/abs/2305.18436
Non-convex gradient descent is a common approach for estimating a low-rank $n\times n$ ground truth matrix from noisy measurements, because it has per-iteration costs as low as $O(n)$ time, and is in theory capable of converging to a minimax optimal
Externí odkaz:
http://arxiv.org/abs/2305.17224
Autor:
Chenyu Zhang, Volodymyr Gerzanich, Ruth Cruz-Cosme, Jiantao Zhang, Orest Tsymbalyuk, Cigdem Tosun, Bhargava Teja Sallapalli, Dongxiao Liu, Kaspar Keledjian, John C. Papadimitriou, Cinthia B. Drachenberg, Mohamed Nasr, Yanjin Zhang, Qiyi Tang, J. Marc Simard, Richard Y. Zhao
Publikováno v:
mBio, Vol 15, Iss 11 (2024)
ABSTRACT The primary challenge posed by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is COVID-19-related mortality, often exacerbated by additional medical complications, such as COVID-19-associated kidney injuries (CAKIs).
Externí odkaz:
https://doaj.org/article/900650a8a1e74d1dae1d954fd7e47921