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Bayesian optimization as a flexible and efficient design framework for
  sustainable process systems

Bayesian optimization as a flexible and efficient design framework for sustainable process systems

29 January 2024
J. Paulson
Calvin Tsay
    TPM
ArXivPDFHTML

Papers citing "Bayesian optimization as a flexible and efficient design framework for sustainable process systems"

7 / 7 papers shown
Title
Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs
Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs
Akshay Kudva
Wei-Ting Tang
J. Paulson
31
0
0
19 Feb 2025
EARL-BO: Reinforcement Learning for Multi-Step Lookahead,
  High-Dimensional Bayesian Optimization
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
Mujin Cheon
Jay H. Lee
Dong-Yeun Koh
Calvin Tsay
21
0
0
31 Oct 2024
Global Optimization of Gaussian Process Acquisition Functions Using a
  Piecewise-Linear Kernel Approximation
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
Yilin Xie
Shiqiang Zhang
J. Paulson
Calvin Tsay
20
5
0
22 Oct 2024
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization
Jixiang Qing
Becky D Langdon
Robert M. Lee
B. Shafei
Mark van der Wilk
Calvin Tsay
Ruth Misener
32
1
0
04 Jun 2024
Human-Algorithm Collaborative Bayesian Optimization for Engineering
  Systems
Human-Algorithm Collaborative Bayesian Optimization for Engineering Systems
Tom Savage
Ehecatl Antonio del Rio Chanona
OffRL
25
5
0
16 Apr 2024
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian
  Optimization
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization
Jose Pablo Folch
Robert M. Lee
B. Shafei
David Walz
Calvin Tsay
Mark van der Wilk
Ruth Misener
26
23
0
11 Nov 2022
Re-Examining Linear Embeddings for High-Dimensional Bayesian
  Optimization
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
Benjamin Letham
Roberto Calandra
Akshara Rai
E. Bakshy
64
108
0
31 Jan 2020
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