convergence rate

Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025 High-Dimensional L2-Boosting: Rate of Convergence JMLR 2025 High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise AISTATS 2025 HVAdam: A Full-Dimension Adaptive Optimizer AAAI 2025 In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting AAAI 2025 Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization ICLR 2025 LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace ICLR 2025 Last-iterate Convergence in Regularized Graphon Mean Field Game AAAI 2025 Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality JMLR 2025 Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games ICLR 2025 Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response ICML 2025 Level Set Teleportation: An Optimization Perspective AISTATS 2025 Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression ICLR 2025 MAST: model-agnostic sparsified training ICLR 2025 Momentum-Driven Adaptivity: Towards Tuning-Free Asynchronous Federated Learning ICML 2025 Nested Expectations with Kernel Quadrature ICML 2025 Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation ICLR 2025 Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping ICLR 2025 Nonconvex Theory of M-estimators with Decomposable Regularizers ICML 2025 O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025 Online Covariance Estimation in Nonsmooth Stochastic Approximation COLT 2025 On the Almost Sure Convergence of the Stochastic Three Points Algorithm ICLR 2025 On the Benefits of Active Data Collection in Operator Learning ICML 2025 On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions ICLR 2025 On the Importance of Embedding Norms in Self-Supervised Learning ICML 2025