Neural Network Optimization
4,155 papers
Papers per year
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Papers
Semi-flat minima and saddle points by embedding neural networks to overparameterization
NeurIPS 2019
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
ICLR 2019
SGD: General Analysis and Improved Rates
ICML 2019
SGD on Neural Networks Learns Functions of Increasing Complexity
NeurIPS 2019
Shadowing Properties of Optimization Algorithms
NeurIPS 2019
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking
ICML 2019
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points
COLT 2019
Show Your Work: Improved Reporting of Experimental Results
EMNLP 2019
Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization
ICML 2019
Small nonlinearities in activation functions create bad local minima in neural networks
ICLR 2019
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning
ICCV 2019
Sorting Out Lipschitz Function Approximation
ICML 2019
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
AAAI 2019
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
NeurIPS 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks
NeurIPS 2019
Splitting Steepest Descent for Growing Neural Architectures
NeurIPS 2019
Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes
JMLR 2019
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points
NeurIPS 2019
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization
COLT 2019
Stagewise Training Accelerates Convergence of Testing Error Over SGD
NeurIPS 2019
Static Automatic Batching In TensorFlow
ICML 2019
Stochastic Gradient Descent Learns State Equations with Nonlinear Activations
COLT 2019
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate
AISTATS 2019
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations
JMLR 2019
Stochastic Nonconvex Optimization with Large Minibatches
ALT 2019