niaohe / Convex-Optimization-CourseLinks
Repository for my convex optimization course.
☆54Updated 4 years ago
Alternatives and similar repositories for Convex-Optimization-Course
Users that are interested in Convex-Optimization-Course are comparing it to the libraries listed below
Sorting:
- Repository for my Big Data Optimization course☆35Updated 4 years ago
- ☆144Updated 3 months ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 7 months ago
- A collection of papers and readings for non-convex optimization☆31Updated 6 years ago
- ☆235Updated 2 years ago
- ☆67Updated 6 years ago
- Visualization of numerical optimization algorithms☆92Updated 4 years ago
- Course webpage for PGM, Spring 2019.☆76Updated 4 years ago
- ☆170Updated last year
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆45Updated 6 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆53Updated 5 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 4 years ago
- EE227C (Spring 2018) Course page☆225Updated 4 years ago
- Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms☆284Updated 2 years ago
- Bi-level Optimization for Advanced Deep Learning☆47Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 3 years ago
- Benchmark for bi-level optimization solvers☆49Updated 4 months ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆61Updated 2 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆127Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆130Updated 2 years ago
- ☆103Updated 4 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆71Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning☆45Updated 6 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆140Updated last year
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year