gradient descent

Winnowing with Gradient Descent COLT 2020 Accelerate Learning of Deep Hashing With Gradient Attention ICCV 2019 Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions NeurIPS 2019 Acceleration via Symplectic Discretization of High-Resolution Differential Equations NeurIPS 2019 A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks ICLR 2019 Adaptive Auxiliary Task Weighting for Reinforcement Learning NeurIPS 2019 Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search ICML 2019 ADef: an Iterative Algorithm to Construct Adversarial Deformations ICLR 2019 A Dynamical Systems Perspective on Nesterov Acceleration ICML 2019 A Flexible Convolutional Solver for Fast Style Transfers CVPR 2019 Aggregated Momentum: Stability Through Passive Damping ICLR 2019 Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks NeurIPS 2019 A Max-Affine Spline Perspective of Recurrent Neural Networks ICLR 2019 An Empirical study of Binary Neural Networks' Optimisation ICLR 2019 An Improved Analysis of Training Over-parameterized Deep Neural Networks NeurIPS 2019 An Investigation into Neural Net Optimization via Hessian Eigenvalue Density ICML 2019 A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution NeurIPS 2019 An Optimal Control Approach to Sequential Machine Teaching AISTATS 2019 Anytime Online-to-Batch, Optimism and Acceleration ICML 2019 A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent ICML 2019 Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions CVPR 2019 Benchmarking Approximate Inference Methods for Neural Structured Prediction NAACL 2019 Beyond Gradient Descent for Regularized Segmentation Losses CVPR 2019 Blended Matching Pursuit NeurIPS 2019 Classification using margin pursuit AISTATS 2019