5 citations · 12 across the 11 of their papers we have counts for
4 papers · 1 filter
Learning Invariant Representations under General Interventions on the Response
Kang Du, Yu Xiang
It has become increasingly common nowadays to collect observations of feature and response pairs from different environments. As a consequence, one has to apply learned predictors…
Lower Bounds on the Error Probability for Invariant Causal Prediction
Austin Goddard, Yu Xiang, Ilya Soloveychik
It is common practice to collect observations of feature and response pairs from different environments. A natural question is how to identify features that have consistent predict…
An Invariant Matching Property for Distribution Generalization under Intervened Response
Kang Du, Yu Xiang
The task of distribution generalization concerns making reliable prediction of a response in unseen environments. The structural causal models are shown to be useful to model distr…
Variable Selection with the Knockoffs: Composite Null Hypotheses
Mehrdad Pournaderi, Yu Xiang
The fixed-X knockoff filter is a flexible framework for variable selection with false discovery rate (FDR) control in linear models with arbitrary design matrices (of full column r…