Optimization Convergence Analysis

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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. Settling: Equilibrium Inference for Non-Convex Validity Sets

    Sep 9, 2026Lyes Saad SaoudConformal InferenceEquilibrium

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

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

  4. 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

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

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

  6. Parallelism Strategy Chaining for Fast Training Convergence

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

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

    Sep 3, 2026A. AfhamSpectral DescentWasserstein Distance

  8. Spectral Convergence of Random Feature Method in Multiple Dimensions

    Sep 3, 2026Pingbing Ming, Hao YuRegularitySpectral Algorithms

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

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

  10. 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

  11. Independent Reinforcement Learning in Discounted Markov Games

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

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

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

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

    Aug 31, 2026Steffen Dereich, Arnulf JentzenAdamGradient Descent

  14. 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

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

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

  16. 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

  17. Tight Nonasymptotic Local Convergence of Sinkhorn-Knopp

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

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

    Aug 11, 2026Siqiao Mu, Diego KlabjanGradient DescentLipschitz Constant

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

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

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

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

  21. 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

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

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

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

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

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

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

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

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

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

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

  27. Establishing Boundary KKT Convergence of Mirror Descent through Reparameterization

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

  28. 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

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

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

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

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

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

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

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

    Aug 5, 2026Nilesh KumarEmpirical Risk MinimizationUnlabeled Data

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

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

  34. 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

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

    Aug 5, 2026Han BaoGradient DescentOptimization Convergence Analysis

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

    Aug 4, 2026Patrick ForréProbability MeasuresOptimization Convergence Analysis

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

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

  38. 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

  39. 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

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

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

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

    Aug 1, 2026Soumic SarkarContractionOptimization Convergence Analysis

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

    Jul 31, 2026Yanwei Jia, Du OuyangPolicy GradientOptimal Policies

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

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

  44. Adaptivity via a Parallel Architecture for Stochastic Gradient Methods

    Jul 31, 2026Bin FuStochastic Gradient DescentGradient Descent

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

    Jul 30, 2026Borna Khodabandeh, Mehdi MolkaraieGibbs MeasuresFactor Graphs

  46. Error Analysis of Neural-Network-Based Engression

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

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

    Jul 29, 2026Yijiang PangAdamHeavy-Tailed Noise

  48. 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

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

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

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

    Jul 27, 2026Haodi Fan, Zucong LanAgent MemoryLineages

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

    Jul 25, 2026Christos N. EfremAsymptoticsLeast Squares

  52. 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

  53. TRACTA: Benchmarking Temporal Reasoning over Semantic Trajectories

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

  54. Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model

    Jul 24, 2026Ruijian Han, Ding Lu, Yiming XuOptimization Convergence AnalysisFixed-Point Iteration

  55. Closed-Loop Generative Selection: Convergence, Memory, and Noisy Oracles

    Jul 24, 2026Konstantin Fackeldey, Christof SchütteDrug DesignEvolutionary Algorithms

  56. On the Convergence of Stochastic Low-Rank Adaptation

    Jul 24, 2026Ru Wang, Chengchang Liu, John C. S. LuiRank-Gated Low-Rank AdaptationVariance Reduction

  57. Variance-Reduced Q-Learning over Static and Time-Varying Networks

    Jul 24, 2026Sreejeet Maity, Feng Zhu, Aritra Mitra +1Multi-Agent Reinforcement LearningValue Functions

  58. Barzilai-Borwein Fails Superlinear Convergence on an Open Set of Quadratics for Every Dimension n\geq 4

    Jul 23, 2026Dawei Li, Xiaotian Jiang, Mingyi HongConvex OptimizationOptimization Convergence Analysis

  59. Token Budget Saturation and Mechanistic Early Detection of Reasoning Non-Convergence in Chain-of-Thought Models

    Jul 23, 2026Renuka Oladri, Niveda Jawahar, Abdirisak MohamedChain-Of-ThoughtDeepseek-R1

  60. Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI

    Jul 23, 2026Chinmaya Kumar Dehury, Boris Sedlak, Alaa Saleh +4Intelligent EdgeEdge Computing