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02/01/2022
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
There is a fundamental limitation in the prediction performance that a m...
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07/16/2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
Ordinary supervised learning is useful when we have paired training data...
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07/08/2020
A One-step Approach to Covariate Shift Adaptation
A default assumption in many machine learning scenarios is that the trai...
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02/20/2020
Do We Need Zero Training Loss After Achieving Zero Training Error?
Overparameterized deep networks have the capacity to memorize training d...
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03/14/2018
Uplift Modeling from Separate Labels
Uplift modeling is aimed at estimating the incremental impact of an acti...
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08/01/2015