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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

An Accelerated DFO Algorithm for Finite-sum Convex Functions ICML 2020
Amortized variance reduction for doubly stochastic objective UAI 2020
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization AISTATS 2020
Localizing and Amortizing: Efficient Inference for Gaussian Processes ACML 2020
ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool NIPS 2020
Stochastic Subspace Cubic Newton Method ICML 2020
Stochastic Hamiltonian Gradient Methods for Smooth Games ICML 2020
Linear bandits with Stochastic Delayed Feedback ICML 2020
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty UAI 2020
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping NIPS 2020
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function NIPS 2020
Bandit Linear Control NIPS 2020
A Simple Online Algorithm for Competing with Dynamic Comparators UAI 2020
Prediction with Corrupted Expert Advice NIPS 2020
Escaping Saddle-Point Faster under Interpolation-like Conditions NIPS 2020
Temporal Variability in Implicit Online Learning NIPS 2020
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems AISTATS 2019
Proximal Splitting Meets Variance Reduction AISTATS 2019
Distributionally Robust Submodular Maximization AISTATS 2019
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019
Polynomial Cost of Adaptation for X-Armed Bandits NIPS 2019
A Universally Optimal Multistage Accelerated Stochastic Gradient Method NIPS 2019
Thinning for Accelerating the Learning of Point Processes NIPS 2019
Stochastic Frank-Wolfe for Composite Convex Minimization NIPS 2019