Yao Xie

Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization

2021 · arXiv (Cornell University)

Given multiple source domains, domain generalization aims at learning a universal model that performs well on any unseen but related target domain. In this work, we focus on the domain generalization scenario where domain shifts …

Causal Graph Discovery from Self and Mutually Exciting Time Series

2023 · arXiv (Cornell University)

We present a generalized linear structural causal model, coupled with a novel data-adaptive linear regularization, to recover causal directed acyclic graphs (DAGs) from time series. By leveraging a recently developed stochastic monotone Variational Inequality (VI) …