High-Dimensional Probability Course

This repository contains coursework and project materials for an advanced course on High-Dimensional Probability. It includes homework materials, written solutions, take-home final work, and a final project focused on smoothed Wasserstein error bounds in Langevin sampling.

The repository is intended to document my work in probability theory, concentration inequalities, high-dimensional analysis, and theoretical tools used in modern machine learning and sampling.

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Repository Structure

High-Dimensional-Probability-Course/
├── HW1/
│   ├── Problem set 1
│   └── My solution
│
├── HW2/
│   ├── Problem set 2
│   └── My solution
│
├── HW3/
│   ├── Problem set 3
│   └── My solution
│
├── HW4/
│   ├── Problem set 4
│   └── My solution
│
├── Final/
│   ├── Take-home final
│   └── My final answer
│
└── Project/
    ├── Project report
    └── Project presentation