convergence analysis

Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances AISTATS 2025 Convergence Analysis of Federated Learning Methods Using Backward Error Analysis AAAI 2025 Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis ICLR 2025 Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation JMLR 2025 Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees ICLR 2025 Demystifying the Token Dynamics of Deep Selective State Space Models ICLR 2025 De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem AAAI 2025 Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity ICML 2025 Extending Mercer's expansion to indefinite and asymmetric kernels ICLR 2025 FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning IJCAI 2025 Federated Communication-Efficient Multi-Objective Optimization AISTATS 2025 Federated Granger Causality Learning For Interdependent Clients With State Space Representation ICLR 2025 FedHB: Hierarchical Bayesian Federated Learning JMLR 2025 From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes AAAI 2025 Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning AAAI 2025 Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates ICLR 2025 HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training ICML 2025 Improved Convergence Rate for Diffusion Probabilistic Models ICLR 2025 Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging ICML 2025 Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence AISTATS 2025 Memory-Reduced Meta-Learning with Guaranteed Convergence AAAI 2025 MGDA Converges under Generalized Smoothness, Provably ICLR 2025 On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025 On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients AISTATS 2025 On the Convergence of Moral Self-Correction in Large Language Models IJCNLP 2025