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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

Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning NIPS 2019
Linear Stochastic Bandits Under Safety Constraints NIPS 2019
Online Forecasting of Total-Variation-bounded Sequences NIPS 2019
Multi-task Learning for Aggregated Data using Gaussian Processes NIPS 2019
Categorized Bandits NIPS 2019
A Stochastic Composite Gradient Method with Incremental Variance Reduction NIPS 2019
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems NIPS 2019
Variational Noise-Contrastive Estimation AISTATS 2019
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019
Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems AISTATS 2019
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition AISTATS 2019
Bandit Online Learning with Unknown Delays AISTATS 2019
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator AISTATS 2019
Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms AISTATS 2019
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums NIPS 2019
The Role of Memory in Stochastic Optimization UAI 2019
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback NIPS 2019
A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise COLT 2019
Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem COLT 2019
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NIPS 2019
SySCD: A System-Aware Parallel Coordinate Descent Algorithm NIPS 2019
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization NIPS 2019
PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits ICML 2019
Reachable Space Characterization of Markov Decision Processes with Time Variability RSS 2019