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convergence acceleration

16 papers

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Co-occurring keywords

stochastic optimization (1060) convex optimization (1320) object detection (2759) neural network optimization (1293) gradient descent (1143) federated learning (1320) first-order method (89) update rule (4) training stability (35) linear system (30)

Papers

TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients AAAI 2024
Riemannian Accelerated Gradient Methods via Extrapolation AISTATS 2023
Accelerating DETR Convergence via Semantic-Aligned Matching CVPR 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022
Accelerating Quadratic Optimization with Reinforcement Learning NIPS 2021
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training NIPS 2021
Fast Convergence of DETR With Spatially Modulated Co-Attention ICCV 2021
Improving First-Order Optimization Algorithms (Student Abstract) AAAI 2020
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective CVPR 2020
Nonlinear Acceleration of Primal-Dual Algorithms AISTATS 2019
Gradient Boosting with Piece-Wise Linear Regression Trees IJCAI 2019
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks AAAI 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 NIPS 2017
Regularized Nonlinear Acceleration NIPS 2016
Fast Iterative Kernel PCA NIPS 2006