Farshud Sorourifar

According to our database, Farshud Sorourifar authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

Accelerating Black-Box Molecular Property Optimization by Adaptively Learning Sparse Subspaces.

Farshud Sorourifar, Thomas Banker, Joel A. Paulson

CoRR, 2024

2023

LSR-BO: Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems.

Joel A. Paulson, Farshud Sorourifar, Christopher R. Laughman, Ankush Chakrabarty

Proceedings of the American Control Conference, 2023

A Tutorial on Derivative-Free Policy Learning Methods for Interpretable Controller Representations.

Joel A. Paulson, Farshud Sorourifar, Ali Mesbah

Proceedings of the American Control Conference, 2023

2022

Efficient Multi-Step Lookahead Bayesian Optimization with Local Search Constraints.

Joel A. Paulson, Farshud Sorourifar, Ankush Chakrabarty

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Efficient Robust Global Optimization for Simulation-based Problems using Decomposed Gaussian Processes: Application to MPC Calibration.

Akshay Kudva, Farshud Sorourifar, Joel A. Paulson

Proceedings of the American Control Conference, 2022

2020

A Data-Driven Automatic Tuning Method for MPC under Uncertainty using Constrained Bayesian Optimization.

Farshud Sorourifar, Georgios Makrygirgos, Ali Mesbah, Joel A. Paulson

CoRR, 2020