convergence analysis

Beyond Strict Competition: Approximate Convergence of Multi-agent Q-Learning Dynamics IJCAI 2023 Competitive Gradient Optimization ICML 2023 Convergence Analysis of Sequential Federated Learning on Heterogeneous Data NeurIPS 2023 Convergence in Multi-Issue Iterative Voting under Uncertainty IJCAI 2023 Convergence of Actor-Critic with Multi-Layer Neural Networks NeurIPS 2023 Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions COLT 2023 Convergence of Adam Under Relaxed Assumptions NeurIPS 2023 Convergence of Alternating Gradient Descent for Matrix Factorization NeurIPS 2023 Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023 Coordinate Descent Methods for Fractional Minimization ICML 2023 Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss ICML 2023 DELTA: Diverse Client Sampling for Fasting Federated Learning NeurIPS 2023 Differentially Private Learning with Per-Sample Adaptive Clipping AAAI 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023 Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023 FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks ICML 2023 Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023 Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning UAI 2023 FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy ICLR 2023 GANs as Gradient Flows that Converge JMLR 2023 Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise NeurIPS 2023 Knowledge Distillation Performs Partial Variance Reduction NeurIPS 2023 Large data limit of the MBO scheme for data clustering: convergence of the dynamics JMLR 2023 Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions ICML 2023 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration NeurIPS 2023