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04/07/2023
Machine Learning with Requirements: a Manifesto
In the recent years, machine learning has made great advancements that h...
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03/09/2023
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
Despite their success with unstructured data, deep neural networks are n...
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02/23/2023
Improving Adaptive Conformal Prediction Using Self-Supervised Learning
Conformal prediction is a powerful distribution-free tool for uncertaint...
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11/09/2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
While there have been a number of remarkable breakthroughs in machine le...
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10/21/2022
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning
Diagnostic and prognostic models are increasingly important in medicine ...
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06/16/2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
Estimating counterfactual outcomes over time has the potential to unlock...
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06/13/2022
Differentiable and Transportable Structure Learning
We are interested in unsupervised structure learning with a particular f...
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02/04/2022
To Impute or not to Impute? – Missing Data in Treatment Effect Estimation
Missing data is a systemic problem in practical scenarios that causes no...
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10/28/2021
