convergence analysis

A Unified Analysis of Federated Learning with Arbitrary Client Participation NeurIPS 2022 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022 Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity ICML 2022 Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis ICML 2022 Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows AAAI 2022 Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings AAAI 2022 Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering ICML 2022 Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum L4DC 2022 Convergence beyond the over-parameterized regime using Rayleigh quotients NeurIPS 2022 Convergence of Feedback Arc Set-Based Heuristics for Linear Structural Equation Models PGM 2022 Convergence of online k-means AISTATS 2022 Convergence of Uncertainty Sampling for Active Learning ICML 2022 Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis NeurIPS 2022 Delay-Adaptive Step-sizes for Asynchronous Learning ICML 2022 Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD AAAI 2022 Deterministic policy gradient: Convergence analysis UAI 2022 Differentially Private Federated Learning With Local Regularization and Sparsification CVPR 2022 Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022 DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems AAAI 2022 Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution NeurIPS 2022 Federated Learning with Partial Model Personalization ICML 2022 Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling ICML 2022 Federated Submodel Optimization for Hot and Cold Data Features NeurIPS 2022 From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent NeurIPS 2022 Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning CVPR 2022