conftrace_

convergence rate

607 papers

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Co-occurring keywords

stochastic gradient descent (1091) convex optimization (1321) stochastic optimization (1060) gradient descent (1144) convergence analysis (395) non-convex optimization (547) nonconvex optimization (316) variance reduction (523) stochastic gradient (296) learning theory (519)

Papers

Accelerated Mirror Descent for Non-Euclidean Star-convex Functions ALT 2026
Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths AAAI 2026
High-Dimensional L2-Boosting: Rate of Convergence JMLR 2025
Generalized multi-view model: Adaptive density estimation under low-rank constraints JMLR 2025
HVAdam: A Full-Dimension Adaptive Optimizer AAAI 2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting AAAI 2025
Almost Sure Convergence of Dropout Algorithms for Neural Networks JMLR 2025
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent AAAI 2025
Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality JMLR 2025
O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes AAAI 2025
Last-iterate Convergence in Regularized Graphon Mean Field Game AAAI 2025
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025
Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds JMLR 2025
On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm JMLR 2025
VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations JMLR 2025
Proper losses regret at least 1/2-order JMLR 2025
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization AAAI 2025
Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence AAAI 2025
Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024
Debiasing Synthetic Data Generated by Deep Generative Models NIPS 2024
Adam with model exponential moving average is effective for nonconvex optimization NIPS 2024