neural network training

Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016 Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives ICML 2016 Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters ICML 2016 Training Deep Neural Networks via Direct Loss Minimization ICML 2016 Training Neural Networks Without Gradients: A Scalable ADMM Approach ICML 2016 Deep Learning with Limited Numerical Precision ICML 2015 Preconditioned Spectral Descent for Deep Learning NeurIPS 2015 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014 On the Computational Efficiency of Training Neural Networks NeurIPS 2014 Understanding Dropout NeurIPS 2013 Large Scale Distributed Deep Networks NeurIPS 2012 Algorithms for Hyper-Parameter Optimization NeurIPS 2011