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1
Scalable Approaches in Optimization, Preference Modeling, and Predictive Simulation for Decision-Making
Scalable Approaches in Optimization, Preference Modeling, and Predictive Simulation for Decision-Making
Chen, Haoxian. | Columbia University | 2025
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2
The Interplay of Optimization and Machine Learning to Solve Large-Scale Black-Box Noisy Functions
The Interplay of Optimization and Machine Learning to Solve Large-Scale Black-Box Noisy Functions
Maneekul, Pariyakorn. | University of Washington | 2025
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3
Making Bayesian Optimization Practical in the Context of High Dimensional, Highly Expensive, Black­Box Functions
Making Bayesian Optimization Practical in the Context of High Dimensional, Highly Expensive, Black­Box Functions
Mathesen, Logan. | Arizona State University | 2021
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