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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

OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits AISTATS 2020
Randomized Block-Diagonal Preconditioning for Parallel Learning ICML 2020
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization JMLR 2020
Adaptive Online Estimation of Piecewise Polynomial Trends NIPS 2020
Finding All $\epsilon$-Good Arms in Stochastic Bandits NIPS 2020
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes JMLR 2020
One Sample Stochastic Frank-Wolfe AISTATS 2020
Minibatch Stochastic Approximate Proximal Point Methods NIPS 2020
Efficient improper learning for online logistic regression COLT 2020
Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations COLT 2020
Risk Bounds for Low Cost Bipartite Ranking UAI 2020
Stochastic Variational Inference for Dynamic Correlated Topic Models UAI 2020
RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization AISTATS 2020
Accelerated Stochastic Gradient-free and Projection-free Methods ICML 2020
A simpler approach to accelerated optimization: iterative averaging meets optimism ICML 2020
Almost Tune-Free Variance Reduction ICML 2020
Safe Linear Stochastic Bandits AAAI 2020
Delay-Adaptive Distributed Stochastic Optimization AAAI 2020
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020
Observe Before Play: Multi-Armed Bandit with Pre-Observations AAAI 2020
Bayesian Learning with Adaptive Load Allocation Strategies L4DC 2020
Model Selection in Contextual Stochastic Bandit Problems NIPS 2020
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond AAAI 2020
A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control L4DC 2020
Kernel Conditional Moment Test via Maximum Moment Restriction UAI 2020