Universality of Neural Networks | El Mahdi El Mhamdi

Neural Networks in Machine Learning | El Mahdi El Mhamdi

Big Data | Dalila Chiadmi

Motivations and Applications of the Multiplicative Weights Update Algorithm | Lê Nguyên Hoang

The Multiplicative Weights Update Algorithm | Lê Nguyên Hoang

Theoretical Guarantee for the Multiplicative Weights Update Algorithm | Lê Nguyên Hoang

PAC-Learning | Lê Nguyên Hoang

Finite Hypothesis Classes are PAC-Learnable | Lê Nguyên Hoang

Agnostic PAC-Learning | Lê Nguyên Hoang

The No-Free Lunch Theorem | Lê Nguyên Hoang

Unstructured Infinite Hypothesis Classes are not PAC-Learnable | Lê Nguyên Hoang

VC Dimension | Lê Nguyên Hoang

VC Dimension of Linear Classifiers | Lê Nguyên Hoang

The Fundamental Theorem of Statistical Learning | Lê Nguyên Hoang

Proof Sketch of the Fundamental Theorem of Statistical Learning | Lê Nguyên Hoang

Simple Linear Regression | Lê Nguyên Hoang

Multidimensional Linear Regression | Lê Nguyên Hoang

Principal Component Analysis (PCA) | Lê Nguyên Hoang

Logistic Regression | Lê Nguyên Hoang

Support Vector Machines (SVM) | Lê Nguyên Hoang

The Kernel Trick for SVM | Lê Nguyên Hoang

Technical Aspects of Kernel Trick | Lê Nguyên Hoang

Intuition and Applications of Singular Value Decomposition (SVD) | Lê Nguyên Hoang

Geometry of Singular Value Decomposition (SVD) | Lê Nguyên Hoang

Spectral-Based Proof of Singular Value Decomposition (SVD) | Lê Nguyên Hoang

Racing for the Netflix Prize | Lê Nguyên Hoang

Matrix Completion with Nucleus Norm and SVD | Lê Nguyên Hoang

Forward Propagation of Neural Networks | El Mahdi El Mhamdi

Safe Interruptibility in Multi-Agent Systems | Alexandre Maurer

Machine Learning With Adversaries | El Mahdi El Mhamdi NIPS 2017