A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences
Gradient Descent Converges to Minimizers
Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications
On the Quality of the Initial Basin in Overspecified Neural Networks
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima