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07/25/2019
Domain Generalization via Multidomain Discriminant Analysis
Domain generalization (DG) aims to incorporate knowledge from multiple s...
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09/23/2018
Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models
The inference of the causal relationship between a pair of observed vari...
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09/23/2018
A Kernel Embedding-based Approach for Nonstationary Causal Model Inference
Although nonstationary data are more common in the real world, most exis...
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03/21/2018
Causal Inference on Discrete Data via Estimating Distance Correlations
In this paper, we deal with the problem of inferring causal directions w...
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03/19/2018
Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures
In this paper, we study the confounder detection problem in the linear m...
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07/08/2013