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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

Auto-Tuning Structured Light by Optical Stochastic Gradient Descent CVPR 2020
Linearly Converging Error Compensated SGD NIPS 2020
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NIPS 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect NIPS 2020
Debiasing Averaged Stochastic Gradient Descent to handle missing values NIPS 2020
An Improved Analysis of Stochastic Gradient Descent with Momentum NIPS 2020
Auditing Differentially Private Machine Learning: How Private is Private SGD? NIPS 2020
Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations NIPS 2020
GCN meets GPU: Decoupling “When to Sample” from “How to Sample” NIPS 2020
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning NIPS 2020
Adaptive Gradient Quantization for Data-Parallel SGD NIPS 2020
Gradient descent algorithms for Bures-Wasserstein barycenters COLT 2020
On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems COLT 2020
NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets SEMEVAL 2020
A Double Residual Compression Algorithm for Efficient Distributed Learning AISTATS 2020
On the interplay between noise and curvature and its effect on optimization and generalization AISTATS 2020
A Theoretical and Practical Framework for Regression and Classification from Truncated Samples AISTATS 2020
Learning Rate Adaptation for Differentially Private Learning AISTATS 2020
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning JMLR 2020
New Insights and Perspectives on the Natural Gradient Method JMLR 2020
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020
A General System of Differential Equations to Model First-Order Adaptive Algorithms JMLR 2020
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes JMLR 2020
Anchor Box Optimization for Object Detection WACV 2020
NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets COLING 2020