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stochastic optimization

1060 papers

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Also known as

SO SVRG SSO SGD

Co-occurring keywords

regret bound (1918) online learning (1770) variance reduction (520) multi-armed bandit (1091) convex optimization (1320) convergence rate (606) non-convex optimization (546) stochastic gradient descent (1088) gradient descent (1143) nonconvex optimization (316)

Papers

Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates NIPS 2018
Online Variance Reduction for Stochastic Optimization COLT 2018
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities NIPS 2018
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization NIPS 2018
Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018
Finite-sum Composition Optimization via Variance Reduced Gradient Descent AISTATS 2017
SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex NIPS 2017
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure NIPS 2017
Second-Order Stochastic Optimization for Machine Learning in Linear Time JMLR 2017
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017
On Perturbed Proximal Gradient Algorithms JMLR 2017
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines AISTATS 2017
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization NIPS 2017
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers NIPS 2017
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values ICML 2017
Follow the Moving Leader in Deep Learning ICML 2017
Acceleration and Averaging in Stochastic Descent Dynamics NIPS 2017
Stochastic and Adversarial Online Learning without Hyperparameters NIPS 2017
A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization ICML 2017
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification ICML 2017
Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis ICML 2017
Natasha: Faster Non-Convex Stochastic Optimization via Strongly Non-Convex Parameter ICML 2017
Sparse Accelerated Exponential Weights AISTATS 2017
Unsupervised Sequential Sensor Acquisition AISTATS 2017