convergence acceleration

Gradient descent with generalized Newton’s method ICLR 2025 TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients AAAI 2024 Riemannian Accelerated Gradient Methods via Extrapolation AISTATS 2023 Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022 Accelerating DETR Convergence via Semantic-Aligned Matching CVPR 2022 Accelerating Quadratic Optimization with Reinforcement Learning NeurIPS 2021 Fast Convergence of DETR With Spatially Modulated Co-Attention ICCV 2021 GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training NeurIPS 2021 Improving First-Order Optimization Algorithms (Student Abstract) AAAI 2020 What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective CVPR 2020 Generalized Batch Normalization: Towards Accelerating Deep Neural Networks AAAI 2019 Gradient Boosting with Piece-Wise Linear Regression Trees IJCAI 2019 Nonlinear Acceleration of Primal-Dual Algorithms AISTATS 2019 A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization IJCAI 2018 ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization NeurIPS 2017 Regularized Nonlinear Acceleration NeurIPS 2016 Fast Iterative Kernel PCA NeurIPS 2006