Mathematics

Deep Learning for Natural Language: The Basics

One-Shot Deviation Principle and Bargaining

Transfer Learning: Models

Deep Learning for Computer Vision: Building Convolutional Neural Networks from Scratch

Disjoint Pairs in Set Systems and the Combinatorics of Low-Rank Matrices

Lec 11: Representation Learning: Reconstruction-Based

Options Markets

Direct Product Testers and PCPs from Coset Complexes

Lecture 16: Bayesian Games

Lecture 14: Folk Theorem

Representation of Games

Lecture 5: Nash Equilibrium

Algorithms for Overcomplete Tensor Decomposition

Lecture 20: Pointwise Convergence; Uniform Convergence

Risk and Financial Crises

Introduction to Deep Learning

Deep Learning for Natural Language: Embeddings

Meta-Analysis

Complexity of Hofer's Geometry in Some Higher Dimensional Manifolds

Inference Methods for Deep Learning

Scaling Rules for Optimization

Lecture 12: Finitely Repeated Games

Lecture 8: Backward Induction

Introduction to Financial Markets, Financial Terms and Concepts