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convergence guarantee

247 papers

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stochastic gradient descent (29) non-convex optimization (27) gradient descent (24) stochastic optimization (23) federated learning (21) convergence analysis (16) reinforcement learning (16) neural network (10) neural network optimization (10) temporal difference learning (10)

Papers

QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning AAAI 2024 Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints ICML 2024 Regularized Q-Learning NeurIPS 2024 Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad NeurIPS 2024 Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints NeurIPS 2024 Robust Multi-Task Learning with Excess Risks ICML 2024 SAMPa: Sharpness-aware Minimization Parallelized NeurIPS 2024 Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features ICML 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective CVPR 2024 Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024 The Power of Extrapolation in Federated Learning NeurIPS 2024 Unraveling the Gradient Descent Dynamics of Transformers NeurIPS 2024 Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023 A Guide Through the Zoo of Biased SGD NeurIPS 2023 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023 Auxiliary Learning as an Asymmetric Bargaining Game ICML 2023 Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition ICLR 2023 Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023 Beyond the Golden Ratio for Variational Inequality Algorithms JMLR 2023 Beyond Uniform Lipschitz Condition in Differentially Private Optimization ICML 2023 Blackbox optimization of unimodal functions UAI 2023 Closing the gap between the upper bound and lower bound of Adam's iteration complexity NeurIPS 2023 Computational Guarantees for Doubly Entropic Wasserstein Barycenters NeurIPS 2023 Convergence of score-based generative modeling for general data distributions ALT 2023