Learnable Randomization as Commitment Against Adaptive Optimizers
A pricing page can walk the posted price up to the last amount a buyer still accepts, a recommender can hold back a better item for a barely acceptable promoted one, and a classifier can shift its boundary once applicants change their features. The system predicts the response and then picks the menu that serves its ow...
Zi-Han Deng, Chuan-Zhi Xu, Xiao-Zhen Zhong et al.
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