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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

Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards NIPS 2020
Byzantine Resilient Distributed Multi-Task Learning NIPS 2020
Beyond Network Pruning: a Joint Search-and-Training Approach IJCAI 2020
Budget-Constrained Bandits over General Cost and Reward Distributions AISTATS 2020
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning ICML 2020
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False ICML 2020
Minimizing Dynamic Regret and Adaptive Regret Simultaneously AISTATS 2020
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls AISTATS 2020
On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent JMLR 2020
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy AISTATS 2020
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise JMLR 2020
Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020
Progressive Identification of True Labels for Partial-Label Learning ICML 2020
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization ICML 2020
Adaptive Sampling for Estimating Probability Distributions ICML 2020
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking ICML 2020
Conditional gradient methods for stochastically constrained convex minimization ICML 2020
Stochastic Optimization for Non-convex Inf-Projection Problems ICML 2020
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020
Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes AISTATS 2020
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints RSS 2020
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020
Robust Gradient-Based Markov Subsampling AAAI 2020
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020