2019
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
AISTATS 2019poster
Pre-conditioning is a well-known concept that can significantly improve the convergence of optimization algorithms. For noise-free problems, where good pre-conditioners are not known a priori, iterative linear algebra methods offer one way to efficiently construct them. For the stochastic optimizati…