Publications

Journal Articles

Learning to Warm-Start Fixed-Point Optimization Algorithms
Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato
Arxiv Preprint, 2023 (accepted conditioned on minor revision: Journal of Machine Learning Research).

Conference Proceedings

End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization
Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato
Proceedings of the 5th Conference on Learning for Dynamics and Control, 2023.

Preprints

Lifted Neural Networks
Armin Askari, Geoffrey Negiar, Rajiv Sambharya, Laurent El Ghaoui
Arxiv Preprint, 2018.

Working Papers

Data-Driven Performance Guarantees for Classical and Learned Optimizers
Rajiv Sambharya, Bartolomeo Stellato

Accelerating Non-Convex Optimization via Learned Sequential Convexifications
Rajiv Sambharya, Bartolomeo Stellato

Learning Algorithm Steps for Fast Convex Optimization
Rajiv Sambharya, Bartolomeo Stellato