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convergence guarantee

247 papers

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stochastic gradient descent (29) non-convex optimization (27) gradient descent (24) stochastic optimization (23) federated learning (21) convergence analysis (16) reinforcement learning (16) neural network (10) neural network optimization (10) temporal difference learning (10)

Papers

FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning UAI 2025 Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution CVPR 2025 Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO JMLR 2025 Linear Convergence of Diffusion Models Under the Manifold Hypothesis COLT 2025 Memory-Efficient Optimization with Factorized Hamiltonian Descent AISTATS 2025 Optimization for Neural Operators can Benefit from Width ICML 2025 Proximal Sampler with Adaptive Step Size AISTATS 2025 Rapid Learning in Constrained Minimax Games with Negative Momentum AAAI 2025 Sharp Bounds for Sequential Federated Learning on Heterogeneous Data JMLR 2025 Sharpness-Aware Minimization: General Analysis and Improved Rates ICLR 2025 Solving hidden monotone variational inequalities with surrogate losses ICLR 2025 SOREL: A Stochastic Algorithm for Spectral Risks Minimization ICLR 2025 Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees AISTATS 2025 Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance ICLR 2025 Subspace Optimization for Large Language Models with Convergence Guarantees ICML 2025 Theoretical Convergence Guarantees for Variational Autoencoders AISTATS 2025 Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers ICLR 2025 Towards Infinite-Long Prefix in Transformer EMNLP 2025 Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models JMLR 2025 A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers NeurIPS 2024 Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees JMLR 2024 ADOPT: Modified Adam Can Converge with Any β_2 with the Optimal Rate NeurIPS 2024 A General Algorithm for Solving Rank-one Matrix Sensing AISTATS 2024 An improved analysis of per-sample and per-update clipping in federated learning ICLR 2024 A Sublinear Adversarial Training Algorithm ICLR 2024