A Robust Optimization Approach to Deep Learning. - Dimitris Bertsimas; Xavier Boix; Kimberly Villalobos Carballo; Dick den Hertog (CoRR, 2021)

TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures. - Dimitris Bertsimas; Kimberly Villalobos Carballo; Yu Ma; Liangyuan Na; Léonard Boussioux; Cynthia Zeng; Luis R. Soenksen; Ignacio Fuentes (CoRR, 2022)

Integrated multimodal artificial intelligence framework for healthcare applications. - Luis R. Soenksen; Yu Ma; Cynthia Zeng; Léonard Boussioux; Kimberly Villalobos Carballo; Liangyuan Na; Holly M. Wiberg; Michael Lingzhi Li; Ignacio Fuentes; Dimitris Bertsimas (npj Digit. Medicine, 2022)

Multistage Stochastic Optimization via Kernels. - Dimitris Bertsimas; Kimberly Villalobos Carballo (CoRR, 2023)

Patient Outcome Predictions Improve Operations at a Large Hospital Network. - Liangyuan Na; Kimberly Villalobos Carballo; Jean Pauphilet; Ali Haddad-Sisakht; Daniel Kombert; Melissa Boisjoli-Langlois; Andrew Castiglione; Maram Khalifa; Pooja Hebbal; Barry Stein; Dimitris Bertsimas (CoRR, 2023)

Holistic deep learning. - Dimitris Bertsimas; Kimberly Villalobos Carballo; Léonard Boussioux; Michael Lingzhi Li; Alex Paskov; Ivan S. Paskov (Mach. Learn., 2024)

Prescribe-then-Select: Adaptive Policy Selection for Contextual Stochastic Optimization. - Caio de Prospero Iglesias; Kimberly Villalobos Carballo; Dimitris Bertsimas (CoRR, 2025)