Akshay Kudva

According to our database, Akshay Kudva authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

An Efficient Spatial Branch-and-Bound Algorithm for Global Optimization of Gaussian Process Posterior Mean Functions.

Wei-Ting Tang, Akshay Kudva, Calvin Tsay, Joel A. Paulson

CoRR, May, 2026

BONSAI: Structure-exploiting robust Bayesian optimization for networked black-box systems under uncertainty.

Akshay Kudva, Joel A. Paulson

Comput. Chem. Eng., 2026

2025

NeST-BO: Fast Local Bayesian Optimization via Newton-Step Targeting of Gradient and Hessian Information.

Wei-Ting Tang, Akshay Kudva, Joel A. Paulson

CoRR, October, 2025

Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs.

Akshay Kudva, Wei-Ting Tang, Joel A. Paulson

CoRR, February, 2025

2024

Robust Bayesian optimization for flexibility analysis of expensive simulation-based models with rigorous uncertainty bounds.

Akshay Kudva, Wei-Ting Tang, Joel A. Paulson

Comput. Chem. Eng., February, 2024

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