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05/18/2023
Estimation Beyond Data Reweighting: Kernel Method of Moments
Moment restrictions and their conditional counterparts emerge in many ar...
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06/24/2021
Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics
Random features is a powerful universal function approximator that inher...
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02/16/2021
From Majorization to Interpolation: Distributionally Robust Learning using Kernel Smoothing
We study the function approximation aspect of distributionally robust op...
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08/20/2019