gradient descent

Non-convex Conditional Gradient Sliding ICML 2018 On the Convergence and Robustness of Training GANs with Regularized Optimal Transport NeurIPS 2018 On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NeurIPS 2018 On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization ICML 2018 Optimization Algorithm Inspired Deep Neural Network Structure Design ACML 2018 Orthogonal Recurrent Neural Networks with Scaled Cayley Transform ICML 2018 Phase Retrieval Under a Generative Prior NeurIPS 2018 Policy Optimization as Wasserstein Gradient Flows ICML 2018 Provably Correct Automatic Sub-Differentiation for Qualified Programs NeurIPS 2018 Proximal Backpropagation ICLR 2018 Recasting Gradient-Based Meta-Learning as Hierarchical Bayes ICLR 2018 Shampoo: Preconditioned Stochastic Tensor Optimization ICML 2018 SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator NeurIPS 2018 Step Size Matters in Deep Learning NeurIPS 2018 The Dynamics of Learning: A Random Matrix Approach ICML 2018 The Implicit Bias of Gradient Descent on Separable Data ICLR 2018 The Implicit Bias of Gradient Descent on Separable Data JMLR 2018 The Lingering of Gradients: How to Reuse Gradients Over Time NeurIPS 2018 The Mechanics of n-Player Differentiable Games ICML 2018 The Physical Systems Behind Optimization Algorithms NeurIPS 2018 Towards Memory-Friendly Deterministic Incremental Gradient Method AISTATS 2018 Understanding Generalization and Optimization Performance of Deep CNNs ICML 2018 A Contrast Function and Algorithm for Blind Separation of Audio Signals Interspeech 2017 Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition NeurIPS 2017 Adaptive ADMM with Spectral Penalty Parameter Selection AISTATS 2017