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Latent Space Bayesian Optimization

· 6 min read
Jagan Shanmugam
Machine Learning Engineer & Data Scientist

Optimization is everywhere - in tuning machine learning models, industrial processes, and even in everyday decision-making. But what happens when the problem you want to optimize is a black box, expensive to evaluate, and has way too many parameters? That's where my master's thesis comes in: Latent Space Bayesian Optimization with Transfer Learning. Here's a deep dive into what I did, why it matters, and what I learned along the way.