2018
AdaGeo: Adaptive Geometric Learning for Optimization and Sampling
AISTATS 2018poster
Gradient-based optimization and Markov Chain Monte Carlo sampling can be found at the heart of several machine learning methods. In high-dimensional settings, well-known issues such as slow-mixing, non-convexity and correlations can hinder the algorithms’ efficiency. In order to overcome these diffi…