convergence rate

Accelerated Mirror Descent for Non-Euclidean Star-convex Functions ALT 2026 An accelerated proximal bundle method for convex optimization L4DC 2026 Chebyshev polynomials meet Nevanlinna-Pick interpolation: An automated procedure for algorithm synthesis L4DC 2026 CONVERGENCE RATES FOR DISTRIBUTION MATCHING WITH SLICED OPTIMAL TRANSPORT COLT 2026 DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models CVPR 2026 Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths AAAI 2026 Fast and Large-Scale Unbalanced Optimal Transport via its Semi-Dual and Adaptive Gradient Methods COLT 2026 FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning CVPR 2026 Flexible Functional Treatment Effect Estimation JMLR 2026 Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation UAI 2026 Last-Iterate Convergence of Randomized Kaczmarz and SGD with Greedy Step Size COLT 2026 Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes JMLR 2026 Near-Exponential Convergence Rates for kNN Classifications based on Boltzmann Margin UAI 2026 Nonlinear function-on-function regression by RKHS JMLR 2026 Optimal Learning Rate Schedules under Functional Scaling Laws: Power Decay and Warmup–Stable–Decay (Extended Abstract) COLT 2026 Random Reshuffling Dominates Stochastic Gradient Descent COLT 2026 Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent JMLR 2026 Stochastic Differential Equations models for Least-Squares Stochastic Gradient Descent JMLR 2026 Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension COLT 2026 AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent AAAI 2025 Adaptive backtracking line search ICLR 2025 Almost Sure Convergence of Dropout Algorithms for Neural Networks JMLR 2025 An Error Analysis of Flow Matching for Deep Generative Modeling ICML 2025 An Optimal Algorithm for Strongly Convex Min-Min Optimization UAI 2025 A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach ICML 2025