convergence analysis

An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint) AAAI 2026 Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization JMLR 2026 Convergence of Continual Learning in Homogeneous Deep Networks COLT 2026 Convergence of Fast Policy Iteration in Markov Games and Robust MDPs AAAI 2026 Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing UAI 2026 Gradient Span Algorithms Make Predictable Progress in High Dimension JMLR 2026 Markovian Compression: Looking to the Past Helps Accelerate the Future UAI 2026 On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks L4DC 2026 Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays AAAI 2026 OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility AAAI 2026 PolicyCache: Intra-flow Learning in Congestion Control NSDI 2026 Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential ALT 2026 Stabilizing Policy Gradient Methods via Reward Profiling AAAI 2026 Vanilla SGD with Momentum Survives Heavy-Tailed Noise: Convergence Analysis without Gradient Clipping or Normalization UAI 2026 Adam Exploits ℓ_∞-geometry of Loss Landscape via Coordinate-wise Adaptivity ICLR 2025 Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise ICLR 2025 Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models ICLR 2025 ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning AISTATS 2025 ADMM for Nonconvex Optimization under Minimal Continuity Assumption ICLR 2025 An Asynchronous Bundle Method for Distributed Learning Problems ICLR 2025 An Iterative Algorithm for Rescaled Hyperbolic Functions Regression AISTATS 2025 A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025 Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis ICLR 2025 Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games AAAI 2025 Both Asymptotic and Non-Asymptotic Convergence of Quasi-Hyperbolic Momentum using Increasing Batch Size ACML 2025