no code implementations • 8 Mar 2024 • Xingran Chen, Yusha Liu, Yali Zheng, Kun Yang
In this letter, we introduce the novel concept, Age of Computing (AoC), to capture computation freshness in 3CNs.
no code implementations • 26 Apr 2023 • Yusha Liu, Aarti Singh
In continuum-armed bandit problems where the underlying function resides in a reproducing kernel Hilbert space (RKHS), namely, the kernelised bandit problems, an important open problem remains of how well learning algorithms can adapt if the regularity of the associated kernel function is unknown.
1 code implementation • 5 Apr 2022 • Yusha Liu, Yichong Xu, Nihar B. Shah, Aarti Singh
Our approach addresses the two aforementioned challenges by: (i) ensuring that rankings are incorporated into the updates scores in the same manner for all papers, thereby mitigating arbitrariness, and (ii) allowing to seamlessly use existing interfaces and workflows designed for scores.
no code implementations • 11 Dec 2020 • Yusha Liu, Yining Wang, Aarti Singh
We also study adaptation to unknown function smoothness over a continuous scale of H\"older spaces indexed by $\alpha$, with a bandit model selection approach applied with our proposed two-layer algorithms.
1 code implementation • 1 Sep 2018 • Yusha Liu, Meng Li, Jeffrey S. Morris
Mass spectrometry proteomics, characterized by spiky, spatially heterogeneous functional data, can be used to identify potential cancer biomarkers.
Methodology