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stochastic gradient descent

1088 papers

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Also known as

SGD

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

Perishability of Data: Dynamic Pricing under Varying-Coefficient Models JMLR 2017
Probabilistic Line Searches for Stochastic Optimization JMLR 2017
Less than a Single Pass: Stochastically Controlled Stochastic Gradient AISTATS 2017
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NIPS 2017
Efficient Private ERM for Smooth Objectives IJCAI 2017
A Structural Representation Learning for Multi-relational Networks IJCAI 2017
Algorithmic Stability and Hypothesis Complexity ICML 2017
Adaptive Sampling Probabilities for Non-Smooth Optimization ICML 2017
Variance Reduction for Faster Non-Convex Optimization ICML 2016
Exponential Family Embeddings NIPS 2016
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters NIPS 2016
Towards Stability and Optimality in Stochastic Gradient Descent AISTATS 2016
Nonparametric Budgeted Stochastic Gradient Descent AISTATS 2016
A Light Touch for Heavily Constrained SGD COLT 2016
Optimal Learning for Multi-pass Stochastic Gradient Methods NIPS 2016
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent NIPS 2016
A Multi-Batch L-BFGS Method for Machine Learning NIPS 2016
Conditional Generative Moment-Matching Networks NIPS 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks NIPS 2016
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles NIPS 2016
Hybrid Accelerated Optimization for Speech Recognition INTERSPEECH 2016
Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA AISTATS 2016
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale NIPS 2016
Stochastic Optimization for Multiview Representation Learning using Partial Least Squares ICML 2016
Accelerated Stochastic Gradient Descent for Minimizing Finite Sums AISTATS 2016