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

Delay as Payoff in MAB AAAI 2025

VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations JMLR 2025

Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025

Faster Double Adaptive Gradient Methods AAAI 2025

Memory-Efficient 4-bit Preconditioned Stochastic Optimization ICCV 2025

Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications JMLR 2025

Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions AAAI 2025

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025

Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags AAAI 2025

PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization AAAI 2025

Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems AAAI 2025

Riemannian Bilevel Optimization JMLR 2025

Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025

Contextual Stochastic Optimization for School Desegregation Policymaking AAAI 2025

Proactive Data-driven Scheduling of Business Processes IJCAI 2025

Batch Ensemble for Variance Dependent Regret in Stochastic Bandits AAAI 2025

Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback AAAI 2025

Federated Stochastic Bilevel Optimization with Fully First-Order Gradients IJCAI 2025

SDEs for Minimax Optimization AISTATS 2024

Learning via Surrogate PAC-Bayes NIPS 2024

Great Minds Think Alike: The Universal Convergence Trend of Input Salience NIPS 2024

An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness NIPS 2024

GGD: Grafting Gradient Descent JMLR 2024

Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints JMLR 2024

Fully Unconstrained Online Learning NIPS 2024