Mathematics

Representation of Games

Random Walks on Finite Groups, Part 1

From Guinness to Clinical Trials: The Story of T-Distribution

Lecture 20: Ad Auctions

Lecture 4: Rationalizability

Lecture 3: Dominance

Introduction to Neural Networks and Deep Learning; Training Deep NNs

Choosing a Statistical Test

Product of Random Matrices: From Scaling Limits to Neural Networks

Options Markets

Risk and Financial Crises

One-Shot Deviation Principle and Bargaining

Auctions

Signal Detection & ROC Curves: Optimizing Medical Software Decisions

Deep Learning for Natural Language: Embeddings

The Szemeredi-Trotter Theorem

Lecture 22: Signaling

The Sigma-Inverse Mean Curvature Flow and the Generalized Penrose Conjecture

Regularity of Measures Generated by Random Dynamics and Applications

Revenue Equivalence

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

Averages by Other Names

Scaling Rules for Optimization

Lecture 12: Finitely Repeated Games