Authors: Victor de la Pena
Abstract: In this talk I will present an introduction to the Theory of Decoupling and Self-normalization and show how Self-normalization has been used on Machine Learning. In addition, I will present a symmetrized extension of Kolmogorov's Law of the Iterated Logarithm without moment or dependence assumptions.
Link to work (2019)
Link to work (2007)Link to work (2003) with Rustam Ibragimov and Shaturgun Sharakhmetov