← Keywords

stochastic optimization

1060 papers

Explore in graph

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

Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NIPS 2024
Gradient-Variation Online Learning under Generalized Smoothness NIPS 2024
Near-optimal Per-Action Regret Bounds for Sleeping Bandits AISTATS 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NIPS 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NIPS 2024
Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases AISTATS 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NIPS 2024
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NIPS 2024
z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning AAAI 2024
Learning to Price Homogeneous Data NIPS 2024
Stochastic Newton Proximal Extragradient Method NIPS 2024
Robust Reinforcement Learning with General Utility NIPS 2024
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions NIPS 2024
Fully Unconstrained Online Learning NIPS 2024
Decentralized Sum-of-Nonconvex Optimization AAAI 2024
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NIPS 2024
Improved Regret for Bandit Convex Optimization with Delayed Feedback NIPS 2024
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024
Learning Reduced Fluid Dynamics AAAI 2024
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment AAAI 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024
Big Learning Expectation Maximization AAAI 2024
Stochastic-Constrained Stochastic Optimization with Markovian Data JMLR 2024
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024