Michael Klamkin

According to our database, Michael Klamkin authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

PGLearn - An Open-Source Learning Toolkit for Optimal Power Flow.

Michael Klamkin, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, May, 2025

DualSchool: How Reliable are LLMs for Optimization Education?

Michael Klamkin, Arnaud Deza, Sikai Cheng, Haoruo Zhao, Pascal Van Hentenryck

CoRR, May, 2025

Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow.

Andrew Rosemberg, Michael Klamkin

CoRR, April, 2025

Conformal Prediction with Upper and Lower Bound Models.

Miao Li, Michael Klamkin, Mathieu Tanneau, Reza Zandehshahvar, Pascal Van Hentenryck

CoRR, March, 2025

2024

Dual Interior-Point Optimization Learning.

Michael Klamkin, Mathieu Tanneau, Pascal Van Hentenryck

CoRR, 2024

2022

Active Bucketized Learning for ACOPF Optimization Proxies.

Michael Klamkin, Mathieu Tanneau, Terrence W. K. Mak, Pascal Van Hentenryck

CoRR, 2022

Risk-Aware Control and Optimization for High-Renewable Power Grids.

Neil Barry, Minas Chatzos, Wenbo Chen, Dahye Han, Chaofan Huang, Roshan Joseph, Michael Klamkin, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck, Shangkun Wang, Hanyu Zhang, Haoruo Zhao

CoRR, 2022