cxh1996108 / Probability-Theory-and-Examples-5th-editionLinks
Solution and Useful Links
☆53Updated 3 years ago
Alternatives and similar repositories for Probability-Theory-and-Examples-5th-edition
Users that are interested in Probability-Theory-and-Examples-5th-edition are comparing it to the libraries listed below
Sorting:
- ☆227Updated 2 years ago
- ☆39Updated last week
- Summer course on mathematical theory of deep learning☆52Updated 5 years ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆181Updated 5 months ago
- Statistical Modeling and Methods | PKU 2020 Spring☆55Updated 3 years ago
- Applied Multivariate Statistical Analysis | PKU 2019 Fall☆89Updated 3 years ago
- Stanford convex optimization course☆87Updated 4 years ago
- ☆275Updated 2 years ago
- My notes from class☆67Updated 7 years ago
- This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…☆276Updated last year
- Notes and homework answers for Math, Prob and Stat courses at USTC☆65Updated 4 years ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆297Updated last year
- Reinforcement Learning Short Course☆64Updated 5 months ago
- a collection of AWESOME things about Optimal Transport in Deep Learning☆277Updated last year
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆121Updated 2 years ago
- Lecture notes of Real Analysis III in bilibili☆23Updated 2 years ago
- Here is the exercise solution of stochastic process Ross 2nd Edition collected by the author. The answers are from the stochastic process…☆34Updated 4 years ago
- Neural Tangent Kernel Papers☆112Updated 4 months ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆225Updated 4 years ago
- This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].☆11Updated 8 months ago
- A covariate-dependent approach to Gaussian graphical modeling in R☆23Updated last year
- some important properties on random matrix theory and its applications in multiple areas☆108Updated 7 years ago
- My lecture notes during times at UCL.☆31Updated 3 years ago
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆30Updated 6 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆101Updated last year
- Solutions for CS224W Winter 2021 Colab☆164Updated 10 months ago
- Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms☆278Updated last year
- A lecture note for understanding deep learning☆319Updated last month
- All you need for MATH5431 Advanced Statistics I, 2020 Fall, HKUST, Lecturer JING Bingyi☆30Updated 4 years ago
- For sharing purposes☆27Updated last year