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03/22/2023
Revisiting DeepFool: generalization and improvement
Deep neural networks have been known to be vulnerable to adversarial exa...
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03/02/2023
Learning machines for health and beyond
Machine learning techniques are effective for building predictive models...
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02/09/2023
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions
One approach for interpreting black-box machine learning models is to fi...
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02/24/2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
A common assumption in semi-supervised learning is that the labeled, unl...
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10/26/2021
Fair Sequential Selection Using Supervised Learning Models
We consider a selection problem where sequentially arrived applicants ap...
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09/08/2021
Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values
In high-stakes applications of data-driven decision making like healthca...
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12/07/2020
Improving Fairness and Privacy in Selection Problems
Supervised learning models have been increasingly used for making decisi...
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05/20/2019