Zhenyu-LIAO / RMT4ML
Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
☆115Updated last year
Alternatives and similar repositories for RMT4ML:
Users that are interested in RMT4ML are comparing it to the libraries listed below
- some important properties on random matrix theory and its applications in multiple areas☆105Updated 6 years ago
- ☆220Updated 2 years ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆167Updated last month
- Neural Tangent Kernel Papers☆105Updated last month
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- Summer course on mathematical theory of deep learning☆52Updated 5 years ago
- Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization☆22Updated 2 years ago
- ☆67Updated 5 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆83Updated 11 months ago
- Random Matrix Theory library - RMT analysis and simulation in Python☆46Updated 10 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Mutual information estimators and benchmark☆41Updated 3 weeks ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆52Updated 4 years ago
- This repo contains papers, books, tutorials and resources on Riemannian optimization.☆31Updated 2 months ago
- Repository for my convex optimization course.☆52Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- Advanced LTCC course in StatisticsThis course will provide an overview of Monte Carlo methods when used for problems in Statistics. After…☆25Updated 2 years ago
- ☆15Updated 2 years ago
- ☆23Updated 2 years ago
- ☆111Updated 7 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 9 months ago
- About A collection of AWESOME things about information geometry Topics☆153Updated 7 months ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆43Updated 5 years ago
- Accompanying code for our NeurIPS 2019 paper☆12Updated 5 years ago
- ☆23Updated 3 years ago
- Repository for my Big Data Optimization course☆34Updated 4 years ago
- [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects☆14Updated 4 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 6 years ago
- Adaptive gradient descent without descent☆47Updated 3 years ago
- ☆63Updated 2 months ago