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02/17/2023
Smoothly Giving up: Robustness for Simple Models
There is a growing need for models that are interpretable and have reduc...
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06/05/2022
AugLoss: A Learning Methodology for Real-World Dataset Corruption
Deep Learning (DL) models achieve great successes in many domains. Howev...
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05/12/2022
α-GAN: Convergence and Estimation Guarantees
We prove a two-way correspondence between the min-max optimization of ge...
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06/18/2021
Being Properly Improper
In today's ML, data can be twisted (changed) in various ways, either for...
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06/09/2021
Realizing GANs via a Tunable Loss Function
We introduce a tunable GAN, called α-GAN, parameterized by α∈ (0,∞], whi...
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06/22/2020
On the alpha-loss Landscape in the Logistic Model
We analyze the optimization landscape of a recently introduced tunable c...
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06/05/2019
A Tunable Loss Function for Classification
Recently, a parametrized class of loss functions called α-loss, α∈ [1,∞]...
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02/12/2019