Training Deep Neural Networks
PAPER: Objective function-based clustering via near-Boolean optimization
Convex Analysis and Optimization
Practical Variational Inference for Neural Networks
Optimization Methods in Management Science
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
Top-down Neural Attention by Excitation Backprop
Sparse modeling: some unifying theory and “topic-imaging”
Building Machines that Imagine and Reason: Principles and Applications of Deep Generative Models
Introduction to Neural Networks