University of Minnesota REU: Summer 2029 — Hyperparameter Tuning and Catastrophe Theory

🚧 This page is under construction. Dates, funding details, and application information are to be determined.

We aim to rigorously analyze the role of randomness in hyperparameter search via techniques from singularity theory.

Program Overview

The University of Minnesota REU on Hyperparameter Tuning and Catastrophe Theory is a planned six-week undergraduate research program for Summer 2029. The program will focus on:

• The mathematical structure behind hyperparameter optimization in machine learning.
• The use of singularity theory to model and understand catastrophic changes in performance landscapes.
• Investigating the role of randomness and bifurcation phenomena in tuning processes.

Participants will work closely with faculty and graduate mentors in an interactive and rigorous research environment, with access to dedicated resources at the School of Mathematics.

Program Benefits

• Stipend: To be determined
• Travel and Living Support:
  • Travel reimbursement: Up to a fixed amount (TBD) for non-local participants.
  • Housing and meals: Provided for non-local participants (TBD).

Eligibility

Open to undergraduate students who:

• Are pursuing an associate or bachelor’s degree.
• Are U.S. citizens, permanent residents, or U.S. nationals.

Application Deadline

To be announced.

Applicant Requirements

Ideal applicants should have:

• Familiarity with basic calculus and linear algebra.
• Programming experience in Python.
• (Preferred) Exposure to machine learning or dynamical systems.

Required Documents

• A Statement of Interest
• One reference letter (submitted online)
• An unofficial transcript

Application Link

🚧 Application portal coming soon.
[Link will be posted here when available.]

Please check back later for updated information.