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