2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits
Alan Yang, Jie Xiong, Maxim Raginsky +1
This paper proposes a class of neural ordinary differential equations parametrized by provably input-to-state stable continuous-time recurrent neural networks. The model dynamics a…
math.ST2021★ 1 cited
Causal Inference with Hidden Mediators
AmirEmad Ghassami, Alan Yang, Ilya Shpitser +1
Proximal causal inference was recently proposed as a framework to identify causal effects from observational data in the presence of hidden confounders for which proxies are availa…
cs.LG2019
Model-Augmented Estimation of Conditional Mutual Information for Feature Selection
Alan Yang, AmirEmad Ghassami, Maxim Raginsky +2
Markov blanket feature selection, while theoretically optimal, is generally challenging to implement. This is due to the shortcomings of existing approaches to conditional independ…