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No-Regret Constrained Bayesian Optimization of Noisy and Expensive
  Hybrid Models using Differentiable Quantile Function Approximations

No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function Approximations

5 May 2023
Congwen Lu
J. Paulson
ArXivPDFHTML

Papers citing "No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function Approximations"

4 / 4 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
36
0
0
19 Feb 2025
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
J. Paulson
Calvin Tsay
TPM
46
13
0
29 Jan 2024
Bayesian Optimization of Expensive Nested Grey-Box Functions
Bayesian Optimization of Expensive Nested Grey-Box Functions
Wenjie Xu
Yuning Jiang
B. Svetozarevic
Colin N. Jones
25
1
0
08 Jun 2023
A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth
  Bound-Constrained Optimization Problems
A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems
Frank E. Curtis
Vyacheslav Kungurtsev
Daniel P. Robinson
Qi Wang
27
10
0
28 Apr 2023
1