The Marginal Value of Adaptive Gradient Methods in Machine Learning
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
Sparse Coding and Dictionary Learning with Linear Dynamical Systems
Video2vec: Learning semantic spatio-temporal embeddings for video representation
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
The Regularization Effects of Anisotropic Noise in Stochastic Gradient Descent