7 citations · 7 across the 3 of their papers we have counts for
3 papers
math.ST2024
Transfer Learning under Covariate Shift: Local -Nearest Neighbours Regression with Heavy-Tailed Design
Petr Zamolodtchikov, Hanyuan Hang
Covariate shift is a common transfer learning scenario where the marginal distributions of input variables vary between source and target data while the conditional distribution of…
stat.ML2021
Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble Learning
Hanyuan Hang
In this paper, we propose a gradient boosting algorithm called \textit{adaptive boosting histogram transform} (\textit{ABHT}) for regression to illustrate the local adaptivity of g…
math.PR2015★ 7 cited
A Bernstein-type Inequality for Some Mixing Processes and Dynamical Systems with an Application to Learning
H. Hang, I. Steinwart
We establish a Bernstein-type inequality for a class of stochastic processes that include the classical geometrically -mixing processes, Rio's generalization of these processes,…