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20172023
most citedClass-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization

4 citations · 5 across the 4 of their papers we have counts for

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2 papers · 1 filter

stat.ML2020

Uncertainty Quantification for Inferring Hawkes Networks

Haoyun Wang, Liyan Xie, Alex Cuozzo +2

Multivariate Hawkes processes are commonly used to model streaming networked event data in a wide variety of applications. However, it remains a challenge to extract reliable infer…

stat.ML2018

Robust Hypothesis Testing Using Wasserstein Uncertainty Sets

Rui Gao, Liyan Xie, Yao Xie +1

We develop a novel computationally efficient and general framework for robust hypothesis testing. The new framework features a new way to construct uncertainty sets under the null…