Notes - Deep Learning, Machine Learning & Statistics

SHNGS2017 - Implicit Bias on Linearly Separable Datasets

Minimum Norm OLS and GD

LM2019 - Robust Mean Estimation

Attention Mechanisms + Transformers

Counterfactual Prediction with Time-Varying Treatments + G-Computation

RNNs

CNNs

Batch Normalization

Optimization for Deep Learning

Deep Learning Basics

Markets

LVR & AMM Design

JIT Liquidity

KDS 2022 - Towards a Theory of Maximal Extractable Value I, CFMMs

Trading Squeeth vs Deribit