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