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cs.LG2020
Stable Adversarial Learning under Distributional Shifts
Jiashuo Liu, Zheyan Shen, Peng Cui +4
Machine learning algorithms with empirical risk minimization are vulnerable under distributional shifts due to the greedy adoption of all the correlations found in training data. R…
cs.LG2020
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decision
Li Ye, Yishi Lin, Hong Xie +1
A fundamental question for companies with large amount of logged data is: How to use such logged data together with incoming streaming data to make good decisions? Many companies c…