1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ME2023★ 1 cited
Efficient estimation of weighted cumulative treatment effects by double/debiased machine learning
Shenbo Xu, Bang Zheng, Bowen Su +5
In empirical studies with time-to-event outcomes, investigators often leverage observational data to conduct causal inference on the effect of exposure when randomized controlled t…
cs.LG2019
Tensor Dropout for Robust Learning
Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis +4
CNNs achieve remarkable performance by leveraging deep, over-parametrized architectures, trained on large datasets. However, they have limited generalization ability to data outsid…
q-bio.TO2009
Variant assumptions made in deriving equilibrium solutions to Little et al (PLoS Comput Biol 2009 5(10) e1000539)
Mark P Little, Anna Gola, Ioanna Tzoulaki +1
The paper of Little et al. (PloS Comput Biol 2009 5(10) e1000539) outlined a system of reaction-diffusion equations that were used to describe induction of atherosclerotic disease.…