4 citations · 8 across the 6 of their papers we have counts for
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stat.ML2020
Decoder-free Robustness Disentanglement without (Additional) Supervision
Yifei Wang, Dan Peng, Furui Liu +3
Adversarial Training (AT) is proposed to alleviate the adversarial vulnerability of machine learning models by extracting only robust features from the input, which, however, inevi…
stat.ML2018
Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures
Furui Liu, Laiwan Chan
In this paper, we study the confounder detection problem in the linear model, where the target variable is predicted using its potential causes . Based…
stat.ML2018
Causal Inference on Discrete Data via Estimating Distance Correlations
Furui Liu, Laiwan Chan
In this paper, we deal with the problem of inferring causal directions when the data is on discrete domain. By considering the distribution of the cause and the conditional…