Riemannian stochastic optimization methods avoid strict saddle points

Ya-Ping Hsieh, Mohammad Reza Karimi, Andreas Krause +1

Many modern machine learning applications - from online principal component analysis to covariance matrix identification and dictionary learning - can be formulated as minimization…