conftrace_

convergence bound

17 papers

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Co-occurring keywords

convergence analysis (395) stochastic gradient descent (1091) gaussian process (1200) neural network optimization (1293) distributed learning (563) convex optimization (1321) federated learning (1333) wasserstein distance (417) shuffling strategy (5) distributed stochastic gradient descent (15)

Papers

GAS: Generative Activation-Aided Asynchronous Split Federated Learning AAAI 2025
Hierarchical Federated Learning with Multi-Timescale Gradient Correction NIPS 2024
Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NIPS 2024
Sharp analysis of power iteration for tensor PCA JMLR 2024
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm ICML 2023
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions ICML 2023
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets JMLR 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning ICML 2022
Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport AISTATS 2022
Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021
Shared Autonomy with Learned Latent Actions RSS 2020
Bounding the expected run-time of nonconvex optimization with early stopping UAI 2020
Dimension-Free Bounds for Low-Precision Training NIPS 2019
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization NIPS 2017
On the Rate of Convergence and Error Bounds for LSTD(λ) ICML 2015
The Perturbed Variation NIPS 2012
Bundle Methods for Machine Learning NIPS 2007