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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

Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
FastMAC: Stochastic Spectral Sampling of Correspondence Graph CVPR 2024
Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions NIPS 2024
Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization AAAI 2024
Big Learning Expectation Maximization AAAI 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness NIPS 2024
Stochastic-Constrained Stochastic Optimization with Markovian Data JMLR 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024
Combinatorial Stochastic-Greedy Bandit AAAI 2024
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints JMLR 2024
GGD: Grafting Gradient Descent JMLR 2024
Differentially Private Optimization with Sparse Gradients NIPS 2024
Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates JMLR 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NIPS 2024
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024
Why Do We Need Weight Decay in Modern Deep Learning? NIPS 2024
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions JMLR 2024
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate NIPS 2024
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization JMLR 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss NIPS 2024
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction NIPS 2024
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback NIPS 2024