3 papers
cs.LG2024
M3H: Multimodal Multitask Machine Learning for Healthcare
Dimitris Bertsimas, Yu Ma
Developing an integrated many-to-many framework leveraging multimodal data for multiple tasks is crucial to unifying healthcare applications ranging from diagnoses to operations. I…
cs.LG2024
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences
Dimitris Bertsimas, Vassilis Digalakis, Yu Ma +1
We consider the problem of retraining machine learning (ML) models when new batches of data become available. Existing approaches greedily optimize for predictive power independent…
cs.LG2023
Robust Regression over Averaged Uncertainty
Dimitris Bertsimas, Yu Ma
We propose a new formulation of robust regression by integrating all realizations of the uncertainty set and taking an averaged approach to obtain the optimal solution for the ordi…