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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

Thresholding Bandit with Optimal Aggregate Regret NIPS 2019
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent NIPS 2019
Making the Cut: A Bandit-based Approach to Tiered Interviewing NIPS 2019
Stochastic Submodular Maximization with Performance-Dependent Item Costs AAAI 2019
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization AAAI 2019
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization AAAI 2019
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms AAAI 2019
Stochastic Canonical Correlation Analysis JMLR 2019
Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019
Numerical Optimization to AI, and Back AAAI 2019
$\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks ACML 2019
Variance-based Regularization with Convex Objectives JMLR 2019
Scalable Approximations for Generalized Linear Problems JMLR 2019
Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations JMLR 2019
Beyond Volumetric Albedo -- A Surface Optimization Framework for Non-Line-Of-Sight Imaging CVPR 2019
Joint Manifold Diffusion for Combining Predictions on Decoupled Observations CVPR 2019
Optimal Stochastic and Online Learning with Individual Iterates NIPS 2019
Singleshot : a scalable Tucker tensor decomposition NIPS 2019
Reparameterizable Subset Sampling via Continuous Relaxations IJCAI 2019
Unifying the Stochastic and the Adversarial Bandits with Knapsack IJCAI 2019
Approximate Optimal Transport for Continuous Densities with Copulas IJCAI 2019
How to Tame Your Anticipatory Algorithm IJCAI 2019
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization IJCAI 2019
On the convergence of single-call stochastic extra-gradient methods NIPS 2019
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning NIPS 2019