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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

Inverse Reinforcement Learning with the Average Reward Criterion NIPS 2023
Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds ICML 2023
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions NIPS 2023
Bandit problems with fidelity rewards JMLR 2023
Private Federated Frequency Estimation: Adapting to the Hardness of the Instance NIPS 2023
Online Saddle Point Tracking with Decision-Dependent Data L4DC 2023
Improved Powered Stochastic Optimization Algorithms for Large-Scale Machine Learning JMLR 2023
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space ICML 2023
Stochastic Optimization under Distributional Drift JMLR 2023
A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NIPS 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023
User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions NIPS 2023
Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism JMLR 2022
Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits ICML 2022
Rotting Infinitely Many-Armed Bandits ICML 2022
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers ICML 2022
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences ICML 2022
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence ICML 2022
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NIPS 2022
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning AISTATS 2022