convergence analysis

Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems AAAI 2021 Convergence and Alignment of Gradient Descent with Random Backpropagation Weights NeurIPS 2021 Convergence of adaptive algorithms for constrained weakly convex optimization NeurIPS 2021 Convergence rates and approximation results for SGD and its continuous-time counterpart COLT 2021 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization NeurIPS 2021 EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback NeurIPS 2021 Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data NeurIPS 2021 Fast Federated Learning in the Presence of Arbitrary Device Unavailability NeurIPS 2021 Fast Training Method for Stochastic Compositional Optimization Problems NeurIPS 2021 Federated Learning with Compression: Unified Analysis and Sharp Guarantees AISTATS 2021 FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis ICML 2021 Functional Space Analysis of Local GAN Convergence ICML 2021 Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization AAAI 2021 Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling AAAI 2021 Learning Graph Neural Networks with Approximate Gradient Descent AAAI 2021 Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency AISTATS 2021 Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks ICLR 2021 Multi-Scale Games: Representing and Solving Games on Networks with Group Structure AAAI 2021 Non-asymptotic convergence bounds for Wasserstein approximation using point clouds NeurIPS 2021 Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling AAAI 2021 Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis NeurIPS 2021 On Characterizing GAN Convergence Through Proximal Duality Gap ICML 2021 One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks AISTATS 2021 On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms NeurIPS 2021 On the Dynamics of Training Attention Models ICLR 2021