Parameter estimation and clustering/classification using Riemannian geometry.

Implementation for the paper 'Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport' (ICLR 2023)

Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold (AAAI 2022)

An experimental language for causal reasoning

This is a collection of papers and other resources related to fairness.

Notebooks e códigos do meu trabalho de conclusão de curso

Distance Metric Learning Algorithms for Python