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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

Optimal First-Order Algorithms as a Function of Inequalities JMLR 2024
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation AAAI 2024
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024
Provably Convergent Federated Trilevel Learning AAAI 2024
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing JMLR 2024
SDEs for Minimax Optimization AISTATS 2024
Evaluating the design space of diffusion-based generative models NIPS 2024
An Analysis of Quantile Temporal-Difference Learning JMLR 2024
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium JMLR 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024
Sharp analysis of power iteration for tensor PCA JMLR 2024
Convergence guarantees for adaptive model predictive control with kinky inference L4DC 2024
Unraveling the Gradient Descent Dynamics of Transformers NIPS 2024
CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design L4DC 2024
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NIPS 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD NIPS 2024
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NIPS 2024
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers NIPS 2024
Sketching for Distributed Deep Learning: A Sharper Analysis NIPS 2024
Mentored Learning: Improving Generalization and Convergence of Student Learner JMLR 2024
Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds NIPS 2024
Fisher information dissipation for time-inhomogeneous stochastic differential equations JMLR 2024
On the Convergence of an Adaptive Momentum Method for Adversarial Attacks AAAI 2024
Towards Exact Gradient-based Training on Analog In-memory Computing NIPS 2024