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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

Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity NIPS 2018
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap AISTATS 2018
Non-convex Conditional Gradient Sliding ICML 2018
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration ICML 2018
Stochastic Proximal Algorithms for AUC Maximization ICML 2018
Stochastic Variance-Reduced Policy Gradient ICML 2018
Dynamic Resource Routing using Real-Time Dynamic Programming IJCAI 2018
Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice JMLR 2018
Importance Sampling for Minibatches JMLR 2018
Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces IJCAI 2018
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits IJCAI 2018
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization IJCAI 2018
Implicational Universals in Stochastic Constraint-Based Phonology EMNLP 2018
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data IJCAI 2018
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization NIPS 2018
Using Large Ensembles of Control Variates for Variational Inference NIPS 2018
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates ICML 2018
Stochastic Spectral and Conjugate Descent Methods NIPS 2018
Stochastic Cubic Regularization for Fast Nonconvex Optimization NIPS 2018
Coordinate Descent with Bandit Sampling NIPS 2018
SGDLibrary: A MATLAB library for stochastic optimization algorithms JMLR 2018
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines ICML 2018
On Acceleration with Noise-Corrupted Gradients ICML 2018
Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization ICML 2018