2018-07-03 Quelques articles à lire# Lectures d’été. Similarity encoding for learning with dirty categorical variables Stochastic Subsampling for Factorizing Huge Matrices Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization Efficient and Robust Automated Machine Learning Non Smooth Optimization via BFGS Adam: A Method for Stochastic Optimization HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent