← Keywords

convergence analysis

394 papers

Explore in graph

Co-occurring keywords

stochastic gradient descent (1088) convergence rate (606) stochastic optimization (1060) non-convex optimization (546) gradient descent (1143) federated learning (1320) neural network optimization (1293) reinforcement learning (4122) distributed learning (563) neural network (6616)

Papers

CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design L4DC 2024
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers NIPS 2024
Great Minds Think Alike: The Universal Convergence Trend of Input Salience NIPS 2024
Fundamental Convergence Analysis of Sharpness-Aware Minimization NIPS 2024
The Implicit Bias of Adam on Separable Data NIPS 2024
A Theoretical Analysis of the Learning Dynamics under Class Imbalance ICML 2023
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions NIPS 2023
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning UAI 2023
Convergence of Actor-Critic with Multi-Layer Neural Networks NIPS 2023
On the Convergence of Black-Box Variational Inference NIPS 2023
A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023
When Do Curricula Work in Federated Learning? ICCV 2023
On the Convergence of CART under Sufficient Impurity Decrease Condition NIPS 2023
Convergence of Adam Under Relaxed Assumptions NIPS 2023
Convergence in Multi-Issue Iterative Voting under Uncertainty IJCAI 2023
Convergence of Alternating Gradient Descent for Matrix Factorization NIPS 2023
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NIPS 2023
Differentially Private Learning with Per-Sample Adaptive Clipping AAAI 2023
On the Convergence of SARSA with Linear Function Approximation ICML 2023
Why Target Networks Stabilise Temporal Difference Methods ICML 2023
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data NIPS 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration NIPS 2023
On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size JMLR 2023
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023