← Keywords

stochastic optimization

1060 papers

Explore in graph

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

Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017
Task-based End-to-end Model Learning in Stochastic Optimization NIPS 2017
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization NIPS 2017
Learning RBM with a DC programming Approach ACML 2017
Efficient Algorithms And Representations For Chance-constrained Mixed Constraint Programming IJCAI 2017
Stochastic Mirror Descent in Variationally Coherent Optimization Problems NIPS 2017
Accelerating Stochastic Composition Optimization JMLR 2017
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe NIPS 2017
Approximate Newton Methods and Their Local Convergence ICML 2017
Monte-Carlo Tree Search by Best Arm Identification NIPS 2017
Robust Guarantees of Stochastic Greedy Algorithms ICML 2017
Robust Optimization for Non-Convex Objectives NIPS 2017
Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret ICML 2017
A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization AISTATS 2017
AdaDelay: Delay Adaptive Distributed Stochastic Optimization AISTATS 2016
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles AISTATS 2016
Stochastic Block BFGS: Squeezing More Curvature out of Data ICML 2016
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization ICML 2016
Variance-Reduced and Projection-Free Stochastic Optimization ICML 2016
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning ICML 2016
PAC Lower Bounds and Efficient Algorithms for The Max K-Armed Bandit Problem ICML 2016
Online Learning with Feedback Graphs Without the Graphs ICML 2016
Fast Rate Analysis of Some Stochastic Optimization Algorithms ICML 2016
A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization ICML 2016
Conservative Bandits ICML 2016