Risk-Aware Control and Optimization for High-Renewable Power Grids. - Neil Barry; Minas Chatzos; Wenbo Chen 001; Dahye Han; Chaofan Huang; Roshan Joseph; Michael Klamkin; Seonho Park; Mathieu Tanneau; Pascal Van Hentenryck; Shangkun Wang; Hanyu Zhang; et al. (CoRR, 2022)

Active Bucketized Learning for ACOPF Optimization Proxies. - Michael Klamkin; Mathieu Tanneau; Terrence W. K. Mak; Pascal Van Hentenryck (CoRR, 2022)

Dual Interior-Point Optimization Learning. - Michael Klamkin; Mathieu Tanneau; Pascal Van Hentenryck (CoRR, 2024)

Conformal Prediction with Upper and Lower Bound Models. - Miao Li; Michael Klamkin; Mathieu Tanneau; Reza Zandehshahvar; Pascal Van Hentenryck (CoRR, 2025)

Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow. - Andrew Rosemberg; Michael Klamkin (CoRR, 2025)

DualSchool: How Reliable are LLMs for Optimization Education? - Michael Klamkin; Arnaud Deza; Sikai Cheng; Haoruo Zhao; Pascal Van Hentenryck (CoRR, 2025)

PGLearn - An Open-Source Learning Toolkit for Optimal Power Flow. - Michael Klamkin; Mathieu Tanneau; Pascal Van Hentenryck (CoRR, 2025)