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05/20/2023
A Novel Framework for Improving the Breakdown Point of Robust Regression Algorithms
We present an effective framework for improving the breakdown point of r...
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05/16/2022
A model aggregation approach for high-dimensional large-scale optimization
Bayesian optimization (BO) has been widely used in machine learning and ...
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05/10/2022
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
The expected improvement (EI) is one of the most popular acquisition fun...
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07/07/2021
Combined Global and Local Search for Optimization with Gaussian Process Models
Gaussian process (GP) model based optimization is widely applied in simu...
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01/17/2019