hduongtrong / ST210A
Homework for STAT 210A - Berkeley
☆28Updated 10 years ago
Alternatives and similar repositories for ST210A:
Users that are interested in ST210A are comparing it to the libraries listed below
- My notes from class☆63Updated 6 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆43Updated 5 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- EE227C (Spring 2018) Course page☆223Updated 3 years ago
- Homework for STAT 205A - Berkeley☆11Updated 10 years ago
- ☆222Updated 2 years ago
- Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)☆68Updated 5 years ago
- ☆78Updated 8 years ago
- Repository for my convex optimization course.☆52Updated 4 years ago
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆90Updated 5 years ago
- Materials for Bayesian Methods in Machine Learning Course☆88Updated 3 months ago
- ☆164Updated 6 months ago
- Solutions to "Machine Learning: A Probabilistic Perspective"☆158Updated 3 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆64Updated 6 years ago
- ☆33Updated 5 years ago
- Course webpage for PGM, Spring 2019.☆76Updated 3 years ago
- All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.☆54Updated 4 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆45Updated 3 months ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆58Updated 2 years ago
- ☆20Updated 6 years ago
- Seminar on Selected Tools☆23Updated 6 years ago
- Summer course on mathematical theory of deep learning☆52Updated 5 years ago
- This repository holds all course materials for the fall 2016 offering of Statistics 238 (Bayesian Statistics) at UC Berkeley.☆30Updated 8 years ago
- paper lists and information on mean-field theory of deep learning☆75Updated 5 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated this week
- More PRML Errata☆80Updated 2 years ago
- DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)☆45Updated last year
- ☆19Updated last year
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆120Updated 5 years ago