3 citations · 4 across the 2 of their papers we have counts for
4 papers
A simple equivariant machine learning method for dynamics based on scalars
Weichi Yao, Kate Storey-Fisher, David W. Hogg +1
Physical systems obey strict symmetry principles. We expect that machine learning methods that intrinsically respect these symmetries should have higher prediction accuracy and bet…
Dynamic estimation with random forests for discrete-time survival data
Hoora Moradian, Weichi Yao, Denis Larocque +2
Time-varying covariates are often available in survival studies and estimation of the hazard function needs to be updated as new information becomes available. In this paper, we in…
Experimental performance of graph neural networks on random instances of max-cut
Weichi Yao, Afonso S. Bandeira, Soledad Villar
This note explores the applicability of unsupervised machine learning techniques towards hard optimization problems on random inputs. In particular we consider Graph Neural Network…
An Ensemble Method for Interval-Censored Time-to-Event Data
Weichi Yao, Halina Frydman, Jeffrey S. Simonoff
Interval-censored data analysis is important in biomedical statistics for any type of time-to-event response where the time of response is not known exactly, but rather only known…