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stochastic gradient descent

1088 papers

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Also known as

SGD ASGD SAGA SGM SGDA PSGD SKGD

Co-occurring keywords

non-convex optimization (546) distributed learning (563) neural network optimization (1293) convergence rate (606) convex optimization (1320) neural network (6616) variance reduction (520) stochastic optimization (1060) convergence analysis (394) differential privacy (1010)

Papers

Asymmetric Valleys: Beyond Sharp and Flat Local Minima NIPS 2019
On the Convergence Rate of Training Recurrent Neural Networks NIPS 2019
Deep Switch Networks for Generating Discrete Data and Language AISTATS 2019
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate AISTATS 2019
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors AISTATS 2019
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019
Self-similar Epochs: Value in arrangement ICML 2019
Memory Efficient Adaptive Optimization NIPS 2019
Renyi Differentially Private ERM for Smooth Objectives AISTATS 2019
Cascaded Projection: End-To-End Network Compression and Acceleration CVPR 2019
A Local Block Coordinate Descent Algorithm for the CSC Model CVPR 2019
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent NIPS 2019
Inverse Path Tracing for Joint Material and Lighting Estimation CVPR 2019
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting AAAI 2019
Meta-Descent for Online, Continual Prediction AAAI 2019
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning AAAI 2019
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance ICML 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets AAAI 2019
What is the Effect of Importance Weighting in Deep Learning? ICML 2019
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems AAAI 2019
Learning One-hidden-layer Neural Networks under General Input Distributions AISTATS 2019
REPAIR: Removing Representation Bias by Dataset Resampling CVPR 2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification CVPR 2019
A Sufficient Condition for Convergences of Adam and RMSProp CVPR 2019