TRKOY
  • Home
  • Publications
  • News
  • Experience
  • Blog
  • Recent & Upcoming Talks
    • Example Talk
  • News
    • 🎉 I started a new position as Research Assistant in Machine Learning at the University of Cambridge!
    • 🎉 I've successfully completed my MPhil in Machine Learning and Machine Intelligence with Distinction!
    • I'm invited as a reviwer for ICLR 2025 and NeurIPS 2024 FM4Science Workshop.
    • 🎉 Easily create your own simple yet highly customizable blog
    • 📖 I started MPhil in Machine Learning and Machine Intelligence at the University of Cambridge.
    • 🎓 I graduated from Harbin Institute of Technology, Shenzhen.
    • 🎉 I started a position as Research Assistant at the Alan Turing Institute
    • 📖 I started visiting at the University of Oxford.
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Publications
    • Energy-Based Diffusion Neural Sampler for Boltzmann Densities
    • BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching
    • L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders
  • Blogs
    • Probabilistic Machine Learning Basics
    • scikit-learn
  • Blogs
  • Projects
    • Probabilistic Machine Learning Basics
    • The Family of DDPMs
  • Projects
  • Experience
  • News

Probabilistic Machine Learning Basics

Sep 23, 2024 · 1 min read
Go to Project Site PDF

Notes for probabilistic machine learning.

Last updated on Sep 23, 2024
Machine Learning Notes Blog
RuiKang OuYang
Authors
RuiKang OuYang
MPhil student
The Family of DDPMs Sep 23, 2024 →

© 2024 TRKOY. This work is licensed under CC BY SA 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.