Workshop By Maxwell Shapiro

Title: Intro to Sampling, Modeling, and Optimization: The Backbone of AI-Bayesian Algorithms

Series: AL Workshop by Find What Matters

Description: An AI workshop given by Find What Matters taking featuring open sessions. These sessions are designed to provide broad opportunities for learning, discussion, and hands on engagement with emerging AI tools and approaches relevant to the MagLab work across the laboratory.

This session covers the foundational principles of Bayesian optimization, specifically focusing on:

High-Dimensional Sampling: Strategies for navigating large search spaces effectively.

Surrogate Modeling: Identifying the attributes of a robust, predictive model.

Optimization Strategies: Criteria for selecting the right approach for specific research goals.