Convergence

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  1. Preservation of Log-Concavity and Convergence of Wasserstein-Fisher-Rao Gradient Flows

    Sep 16, 2026Francesca Romana Crucinio, Sahani PathirajaWasserstein Gradient FlowsOptimization Convergence Analysis

  2. Steady-State Convergence of Stochastic Approximation

    Sep 14, 2026Yixuan Zhang, Qiaomin XieStochastic ApproximationQ-Learning

  3. Settling: Equilibrium Inference for Non-Convex Validity Sets

    Sep 9, 2026Lyes Saad SaoudConformal InferenceEquilibrium

  4. Global Divergence, Local Convergence: Representation Geometry in SSMs and Transformers

    Sep 8, 2026Amit Ben-Artzy, Roy SchwartzRepresentational CapacityRepresentation Space

  5. The Exact Time-Uniform Rate Frontier for Stochastic Gradient Descent on Smooth Convex Objectives

    Sep 8, 2026Ruijie Li, Kang Chen, Tianyu WangStochastic Gradient DescentOptimization Convergence Analysis

  6. Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling

    Sep 8, 2026Haifeng Wen, Nicolò Michelusi, Osvaldo Simeone +2Wireless Resource AllocationWireless Networks

  7. Parallelism Strategy Chaining for Fast Training Convergence

    Sep 7, 2026Minchul Kang, Changyong Shin, Younghun Go +4Large Language Model TrainingLanguage Model Perplexity

  8. Projected Riemannian Gradient Descent for the Bures-Wasserstein Barycenter: Dimension-Independent Linear Convergence at Unit Step Size

    Sep 3, 2026A. AfhamSpectral DescentWasserstein Distance

  9. Spectral Convergence of Random Feature Method in Multiple Dimensions

    Sep 3, 2026Pingbing Ming, Hao YuRegularitySpectral Algorithms

  10. No-Regret Bayesian Optimization with Finite-Library Input-Warped Kernels

    Sep 2, 2026Edvin Ketabati Augustinsson, Robert A. BridgesBayesian OptimizationGaussian Process

  11. Convergence Theory of Knowledge Distillation in Asynchronous P2P Gossip Learning Network

    Sep 1, 2026Lucas Qingyang Fang, Tiyao Liu, Jinhao Jing +4Heterogeneous Knowledge DistillationPeer-To-Peer

  12. Independent Reinforcement Learning in Discounted Markov Games

    Sep 1, 2026Asrin Efe Yorulmaz, Ugur Aydin, Tamer BasarMean Field GamesMulti-Agent Reinforcement Learning

  13. RestoreBench: Can AI Agents Restore Power Flow Convergence?

    Aug 31, 2026Riccardo Mansutti, Andrea Pomarico, Robert Jakob +3Power SystemsAc Optimal Power Flow

  14. Convergence rates for the RMSprop optimizer with full control of the hyperparameters

    Aug 31, 2026Steffen Dereich, Arnulf JentzenAdamGradient Descent

  15. Feature Priming in Online Linear Regression: Sparse-Regret Lower Bounds and Tight Coordinatewise Rates

    Aug 18, 2026Huibo Xu, Shi Fu, Qixin Zhang +1Sublinear RegretLower Bounds

  16. A Local-Linearly Convergent Algorithm for Nonconvex Equality-Constrained Optimization

    Aug 12, 2026Frank E. Curtis, Lingjun Guo, Daniel P. RobinsonNonconvexSpectral Descent

  17. Specification-first convergence with an AI coding agent: a case study of dismantling a core architectural invariant across 189 files in a 717k-line codebase with no test oracle and no human code review

    Aug 12, 2026Joel AbenhaimCode RefactoringCodebases

  18. Direct Acceleration of Stochastic Root-Finding Without Variance Reduction and Regularization

    Aug 12, 2026TaeHo Yoon, Nicolas LoizouStochastic ApproximationFixed-Point Iteration

  19. Tight Nonasymptotic Local Convergence of Sinkhorn-Knopp

    Aug 12, 2026Wenzhi Gao, Zhaonan Qu, Yinyu Ye +1SinkhornOptimization Convergence Analysis

  20. Convergence Guarantees of Gradient Descent for Neural Networks via Generalized Lipschitz Smoothness

    Aug 11, 2026Siqiao Mu, Diego KlabjanGradient DescentLipschitz Constant

  21. Is Convergence Inevitable? Tracing Output Homogeneity Back to Base Models

    Aug 11, 2026Alexandrine Fortier, Hazel Chen, Peter WestSemantic ConsistencyInstruction Tuning

  22. Batch Size or Negatives? A Selection Rule for Memory-Constrained Recommender Training

    Aug 11, 2026Artyom Sabitov, Daniil Volkov, Alexey ZaytsevRecommender SystemsBatch Size

  23. Policy Convergence and Divergence Across National and Within Regional AI Strategies: A Policy Design Element Analysis

    Aug 11, 2026Benjamin Faveri, Brie BhasinArtificial Intelligence SovereigntyArtificial Intelligence Systems

  24. A lower bound for stepsize-based acceleration of gradient descent

    Aug 11, 2026Jianhao Ma, Yuxin ChenLarge Step SizesGradient Descent

  25. From Approachability Residuals to Anytime-Valid Evidence: The Online Convex Geometry of Testing by Betting

    Aug 10, 2026Jinze ZhaoTwo-Sample TestingFinite Time Analysis

  26. Distributed Team Orchestration via Supervisor Networks: Convergence, Optimality, and Resilience

    Aug 10, 2026Juntian Zhu, Guanpu Chen, Tongtian Zhu +3Byzantine-Robust AggregationFault Tolerance

  27. FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning

    Aug 10, 2026Van Truong Vo, Khoa Nguyen, Taehong KimFedavgLearning Rates

  28. Mobility, Memory, and Network Structure in Agent-Based Models of Convention Tipping and Convergence

    Aug 7, 2026Joe Shymanski, Garrick Springer, Sandip SenAgent-Based ModelConformity

  29. Mendel Gödel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution

    Aug 7, 2026Changzhi Liu, Yilun Liu, Sikuan Yan +2Self-Improving AgentsCoding Agents

  30. Establishing Boundary KKT Convergence of Mirror Descent through Reparameterization

    Aug 7, 2026Kuangyu Ding, Kim-Chuan TohMirror DescentOptimization Convergence Analysis

  31. Optimized Certainty Equivalent Risk Minimization Using Samples: Algorithms, Convergence Rates, and Applications

    Aug 7, 2026Sumedh Gupte, Prashanth L. A., Sanjay P. BhatStochastic OptimizationConditional-Value-At-Risk

  32. Explore or Converge? Stage-Guided Per-Step Optimization for Diffusion Models

    Aug 7, 2026Renye Yan, Jikang Cheng, You Wu +4Diffusion ModelsPreference Alignment

  33. The Tamed Subgradient Unadjusted Langevin Algorithm beyond Convexity

    Aug 6, 2026Iosif Lytras, Nikolaos Makras, Sotirios SabanisLangevin DynamicsFinite Time Analysis

  34. On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities

    Aug 6, 2026TaeHo Yoon, Nicolas LoizouOptimization Convergence AnalysisLipschitz Constant

  35. A proximal subgradient method for nonconvex stochastic optimization under the Kurdyka-Łojasiewicz condition

    Aug 5, 2026Felipe Atenas, Alejandro Jofré, Pedro Pérez-Aros +1Stochastic OptimizationNonconvex

  36. Perturbation Sensitivity at Convergence: A Simple Signal for Identifying Spuriously Correlated Samples

    Aug 5, 2026Nilesh KumarEmpirical Risk MinimizationUnlabeled Data

  37. Stable Density Ridges: Consistency and Convergence of Subspace Constrained Mean Shift

    Aug 5, 2026Wanli QiaoSpectral DescentRandomized Global-Local Density Estimation

  38. On MUON optimization: From non-convergence to an error analysis with Polar Express and the Newton-Schulz polynomial from implementations

    Aug 5, 2026Thang Do, Steffen Dereich, Arnulf JentzenStochastic Gradient DescentNewton

  39. Non-asymptotic implicit bias of logistic regression at early-stage gradient descent dynamics

    Aug 5, 2026Han BaoGradient DescentOptimization Convergence Analysis

  40. A Direct Route to Markov Chain Convergence via Asymptotic Equivalence with the Target

    Aug 4, 2026Patrick ForréProbability MeasuresOptimization Convergence Analysis

  41. Neural Networks with Local Converging Inputs for Efficient Options Pricing Models

    Aug 3, 2026Harris Cobb, Wenbo Hao, Yingjie LiuDerivative PricingNeural-Network Approximation

  42. AOS: Adaptive Optimizer Switching via Training-State Signals for Faster Convergence and Better Generalization

    Aug 3, 2026Alok Kumar Pandey, Umang Chaturvedi, Aatish Rana +1Adaptive OptimizersNeural Network Optimization

  43. Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning

    Aug 3, 2026Ankur Naskar, Vivek T A, Aditya Kumar +2Non-Exponential DiscountingFinite Time Analysis

  44. Using Non-Lipschitz Signum-based Functions for Distributed Optimization and Machine Learning: Trade-off Between Con-vergence Rate and Optimality Gap

    Aug 2, 2026Mohammadreza Doostmohammadian, Amir Ahmad Ghods, Alireza Aghasi +2Lipschitz ConstantOptimization Convergence Analysis

  45. Factorized AdaBoost.MH Achieves the Same Convergence Rate as AdaBoost.MH

    Aug 2, 2026Xin Zou, Jingyuan XuMulticlass ClassificationGradient Boosted Tree

  46. Exact Contraction Rates via the Berkson--Porta Representation: A Sharp Threshold and Its Herglotz-Kernel Obstruction

    Aug 1, 2026Soumic SarkarContractionOptimization Convergence Analysis

  47. Convergence and Regret of the Policy Gradient for Multi-Armed Bandits in Diffusion Environment

    Jul 31, 2026Yanwei Jia, Du OuyangPolicy GradientOptimal Policies

  48. Language Models Agree With Each Other, Not With Readers

    Jul 31, 2026Kazuki Nakayashiki, Keisuke WatanabeHuman-Written TextReading

  49. Adaptivity via a Parallel Architecture for Stochastic Gradient Methods

    Jul 31, 2026Bin FuStochastic Gradient DescentGradient Descent

  50. Accelerated Random-Sweep Gibbs Sampling for Gaussian Graphical Models via Dual Normal Factor Graphs

    Jul 30, 2026Borna Khodabandeh, Mehdi MolkaraieGibbs MeasuresFactor Graphs

  51. Error Analysis of Neural-Network-Based Engression

    Jul 30, 2026Juntong Chen, Zijian Guo, Xinwei ShenNeural-Network ApproximationEqual Error Rate

  52. The Convergence Behavior of Adam under Heavy-Tailed Noise

    Jul 29, 2026Yijiang PangAdamHeavy-Tailed Noise

  53. Adaptive Gradient-Based Methods for a Broader Class of Optimization Problems under Performative Prediction

    Jul 29, 2026Hiroki Hamaguchi, Yuya Hikima, Hiroshi Sawada +1Gradient-Based OptimizationEmpirical Risk Minimization

  54. Global Convergence of DGM and PINN Algorithms for Solving Nonlinear PDEs

    Jul 27, 2026Justin Sirignano, Konstantinos Spiliopoulos, Samuel CohenPartial Differential EquationsSolution Operator

  55. From Cognitive Architectures to Language Agents: A Mechanism-Level Review of Lineage, Convergence, and Migration Gaps

    Jul 27, 2026Haodi Fan, Zucong LanAgent MemoryLineages

  56. Learning switched non-linear dynamical systems from a single trajectory

    Jul 26, 2026Sunny G. W. Wang, Hemant TyagiNonlinear DynamicsFinite Time Analysis

  57. Learning Asymptotics with Convergence-Rate Guarantees using Linear Least Squares

    Jul 25, 2026Christos N. EfremAsymptoticsLeast Squares

  58. From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models

    Jul 25, 2026Jinshu Huang, Yiming Jiang, Chunlin WuScore-Based Diffusion ModelDiffusion Models

  59. Finite-Time Analysis of the Natural Policy Gradient in Finite-Horizon Markov Decision Processes

    Jul 25, 2026Asha Barua, Sajad KhodadadianPolicy GradientFinite Planning Horizon

  60. TRACTA: Benchmarking Temporal Reasoning over Semantic Trajectories

    Jul 24, 2026Michael Romei De Socio, Gian Luca Pozzato, Alessio MerloReasoning TrajectoryTemporal Memory