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convergence analysis

394 papers

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stochastic gradient descent (1088) convergence rate (606) stochastic optimization (1060) non-convex optimization (546) gradient descent (1143) federated learning (1320) neural network optimization (1293) reinforcement learning (4122) distributed learning (563) neural network (6616)

Papers

Stabilizing Policy Gradient Methods via Reward Profiling AAAI 2026
OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility AAAI 2026
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint) AAAI 2026
Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays AAAI 2026
Convergence of Fast Policy Iteration in Markov Games and Robust MDPs AAAI 2026
Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games AAAI 2025
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization AAAI 2025
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes AAAI 2025
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization JMLR 2025
A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data JMLR 2025
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation AAAI 2025
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025
Single-Loop Federated Actor-Critic across Heterogeneous Environments AAAI 2025
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients AISTATS 2025
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning AAAI 2025
Memory-Reduced Meta-Learning with Guaranteed Convergence AAAI 2025
De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem AAAI 2025
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis AAAI 2025
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025
On the Convergence of Moral Self-Correction in Large Language Models IJCNLP 2025
FedHB: Hierarchical Bayesian Federated Learning JMLR 2025
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes JMLR 2025
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning IJCAI 2025
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation JMLR 2025