niaohe / Convex-Optimization-CourseLinks
Repository for my convex optimization course.
☆53Updated 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:
- ☆148Updated 5 months ago
- Repository for my Big Data Optimization course☆36Updated 4 years ago
- A collection of papers and readings for non-convex optimization☆31Updated 6 years ago
- ☆240Updated 2 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆45Updated 6 years ago
- Course webpage for PGM, Spring 2019.☆76Updated 4 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆249Updated last month
- ☆172Updated last year
- Solutions to "Machine Learning: A Probabilistic Perspective"☆163Updated 4 years ago
- ☆68Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Visualization of numerical optimization algorithms☆97Updated 5 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- EE227C (Spring 2018) Course page☆226Updated 4 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆173Updated 6 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆148Updated last year
- LaTeX style file for the Journal of Machine Learning Research☆159Updated last year
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 3 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆134Updated 2 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆122Updated 6 years ago
- Matrix Calculus via Differentials, Matrix Derivative, 矩阵求导教程☆291Updated 2 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 4 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 4 years ago
- Benchmark for bi-level optimization solvers☆50Updated 6 months ago
- All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.☆56Updated 4 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆113Updated 6 years ago
- Experiments for distributed optimization algorithms☆84Updated 2 years ago
- ☆85Updated 5 years ago