2 citations · 5 across the 3 of their papers we have counts for
3 papers
math.PR2023★ 1 cited
On Talagrand's functional and generic chaining
Yiming Chen, Pengtao Li, Dali Liu +1
In the study of the supremum of stochastic processes, Talagrand's chaining functionals and his generic chaining method are heavily related to the distribution of stochastic process…
quant-ph2023★ 2 cited
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum
Huanyu Bian, Zhilong Jia, Menghan Dou +13
With the rapid development of classical and quantum machine learning, a large number of machine learning frameworks have been proposed. However, existing machine learning framework…
math.PR2010★ 2 cited
On Convergence to Stochastic Integrals
Zheng-Yan Lin, Han-Chao Wang
Weak convergence of various general functionals of partial sums of dependent random variables to stochastic integral now play a major role in the modern statistics theory. In this…