Optimal Transport, Deep Learning, Computational Geometry, Probability Distributions, Convex Optimization.
learning. Often time when we train a DL model, e.g, NLP models, we use embedding. A word or an object is embedded into a high dimensional matrix or space, so that each point is represented by a high dimensional vector in some space. The model is then trained to endow the space a meaning so that our