## Elliptic curves

- A toy elliptic curve over a finite field
- Pairings on elliptic curves: a toy example
- What does an elliptic curve look like near the point at infinity (the identity)?

## Zero knowledge Proofs

- Understanding LogUp: A Royal Road
- Deep Differentiable Logic Gate Networks & their (potential) relevance to ZKML

## Machine learning

- Controlled Experiments for Word Embeddings (arXiv)
- Skipgram isn’t Matrix Factorisation
- Hierarchical Softmax
- The limits of linear-time machine learning
- Minsky & Papert’s “Perceptrons”
- Expectation-Maximisation and Gaussian Mixture Models
- word2vec and GloVe

## Optimization

- Convergence rate of gradient descent
- Softmax parameterisation and optimisation
- Projected Gradient Descent

## Geometry (often meets optimization)

- Gradient descent in hyperbolic space (arXiv)
- Gradient optimisation on the Poincaré disc
- Graph embeddings in Hyperbolic Space
- Orthogonal transformations and gradient updates
- Parameterising the Mahalanobis distances for metric learning
- Visualising the set of 2×2 positive semidefinite matrices

## Statistics

- Entropy of the Normal Distribution
- Shannon: averaging operations can only increase the entropy
- Perpendicularity and dimension
- Limiting Distributions of Markov Chains
- Marginal and Conditional Distributions of the Multivariate Gaussian
- Estimation Theory and the Bias-Variance Trade-Off
- Squared pair-wise differences estimate the variance

## Complexity theory

## Phylogenetics

## Math odds and ends

- Matrix Factorisation and the Eigendecomposition of the Gram Matrix
- Eigendecomposition of real, symmetric matrices
- The mathematics of the discrete Fourier transform
- Short-time Fourier transform cheatsheet
- Factorisation of stochastic matrices
- Polynomials over a finite field vs polynomial functions on a finite field

## Software

- HyperNaut: a navigator for the hyperbolic plane (see also article)
- Misc ML projects on Github (mostly optimization in hyperbolic space)

## Representation theory

See Google Scholar.