← 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

MDPGT: Momentum-Based Decentralized Policy Gradient Tracking AAAI 2022
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization ICML 2022
Online Learning with Knapsacks: the Best of Both Worlds ICML 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning ICML 2022
Understanding Stochastic Optimization Behavior at the Layer Update Level (Student Abstract) AAAI 2022
Towards Efficient and Scalable Sharpness-Aware Minimization CVPR 2022
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback NIPS 2022
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints ICML 2022
Large-scale Optimization of Partial AUC in a Range of False Positive Rates NIPS 2022
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers ICML 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification ICML 2022
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration JMLR 2022
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise NIPS 2022
Adaptive Artificial Intelligence Scheduling Methods for Large-Scale, Stochastic, Industrial Applications IJCAI 2022
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model AAAI 2022
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022
An Experimental Design Approach for Regret Minimization in Logistic Bandits AAAI 2022
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022
Optimization for Classical Machine Learning Problems on the GPU AAAI 2022
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity AAAI 2022
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality NIPS 2022
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization NIPS 2022
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data NIPS 2022
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NIPS 2022