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convergence analysis

497 papers

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Co-occurring keywords · papers mentioning both

stochastic gradient descent (86) non-convex optimization (73) stochastic optimization (53) convergence rate (53) federated learning (50) gradient descent (48) neural network optimization (29) distributed learning (26) reinforcement learning (25) convex optimization (24)

Papers

On the Convergence of Projected Policy Gradient for Any Constant Step Sizes JMLR 2025 On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond AISTATS 2025 Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression ICLR 2025 Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent ICML 2025 Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity ICML 2025 PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization AAAI 2025 qNBO: quasi-Newton Meets Bilevel Optimization ICLR 2025 Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations ICLR 2025 Sharp Bounds for Sequential Federated Learning on Heterogeneous Data JMLR 2025 Single-Loop Federated Actor-Critic across Heterogeneous Environments AAAI 2025 Stochastic Rounding for LLM Training: Theory and Practice AISTATS 2025 Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster ICLR 2025 TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025 Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis ICLR 2025 Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation AAAI 2025 Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization JMLR 2025 Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers ICLR 2025 Vertical Federated Learning with Missing Features During Training and Inference ICLR 2025 A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers NeurIPS 2024 A De-singularity Subgradient Approach for the Extended Weber Location Problem IJCAI 2024 A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging ICLR 2024 An Analysis of Quantile Temporal-Difference Learning JMLR 2024 AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024 Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation AAAI 2024 Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods ICLR 2024