3 papers
stat.ML2026
Tightening optimality gap with confidence through conformal prediction
Miao Li, Michael Klamkin, Russell Bent +1
Decision makers routinely use constrained optimization technology to plan and operate complex systems like global supply chains or power grids. In this context, practitioners must…
cs.LG2025
Constraint-Informed Active Learning for End-to-End ACOPF Optimization Proxies
Miao Li, Michael Klamkin, Pascal Van Hentenryck +2
This paper studies optimization proxies, machine learning (ML) models trained to efficiently predict optimal solutions for AC Optimal Power Flow (ACOPF) problems. While promising,…
cs.RO2025
DexFlow: A Unified Approach for Dexterous Hand Pose Retargeting and Interaction
Xiaoyi Lin, Kunpeng Yao, Lixin Xu +4
Despite advances in hand-object interaction modeling, generating realistic dexterous manipulation data for robotic hands remains a challenge. Retargeting methods often suffer from…