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convergence analysis

394 papers

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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

When Do Curricula Work in Federated Learning? ICCV 2023
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NIPS 2023
GANs as Gradient Flows that Converge JMLR 2023
A Structural Complexity Analysis of Synchronous Dynamical Systems AAAI 2023
Reward-Weighted Regression Converges to a Global Optimum AAAI 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems NIPS 2022
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022
Convergence of online k-means AISTATS 2022
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering ICML 2022
Gradient Temporal Difference with Momentum: Stability and Convergence AAAI 2022
Adam Can Converge Without Any Modification On Update Rules NIPS 2022
Federated Submodel Optimization for Hot and Cold Data Features NIPS 2022
Convergence of Feedback Arc Set-Based Heuristics for Linear Structural Equation Models PGM 2022
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022
On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games L4DC 2022
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity ICML 2022
Anarchic Federated Learning ICML 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy ICML 2022
Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis ICML 2022
Convergence of Uncertainty Sampling for Active Learning ICML 2022
DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems AAAI 2022
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NIPS 2022
On Non-local Convergence Analysis of Deep Linear Networks ICML 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training ICML 2022
Towards Understanding Biased Client Selection in Federated Learning AISTATS 2022