A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics
A Generic Approach for Escaping Saddle points
Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent
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