Convergence Analysis

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Period ending 2026-09-21

9 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

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229 papers

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  1. Anon: Extrapolating Adaptivity Beyond SGD and Adam

    May 4, 2026Yiheng Zhang, Kaiyan Zhao, Shaowu Wu +5AdamParameter-Efficient Adaptation

  2. Bridging the Gap Between Average and Discounted TD Learning

    May 3, 2026Haoxing Tian, Zaiwei Chen, Ioannis Ch. Paschalidis +1Temporal DifferenceBellman Equation

  3. Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality

    May 3, 2026Hanxiao Chen, Debarghya MukherjeeMulti--Task LearningImage Clustering

  4. Gradient Regularized Newton Boosting Trees with Global Convergence

    May 1, 2026Nikita Zozoulenko, Daniel Falkowski, Thomas Cass +1Gradient Boosted TreeProximal Gradient Descent

  5. Faster 3D Gaussian Splatting Convergence via Structure-Aware Densification

    Apr 30, 2026Linjie Lyu, Ayush Tewari, Jianchun Chen +23D Gaussian3D Gaussian Splatting

  6. Learning Over-Relaxation Policies for ADMM with Convergence Guarantees

    Apr 29, 2026Junan Lin, Paul J. Goulart, Luca FurieriAlternating Direction Method Of MultiplierConvex Optimization

  7. On Halting vs Converging in Recurrent Graph Neural Networks

    Apr 28, 2026Jeroen Bollen, Stijn VansummerenGraph Neural NetworksRectified Linear Unit Networks

  8. Enhancing SignSGD: Small-Batch Convergence Analysis and a Hybrid Switching Strategy

    Apr 28, 2026Haoran Chen, Wentao WangConvergence AnalysisConvergence

  9. A Finite Time Analysis of Thompson Sampling for Bayesian Optimization with Preferential Feedback

    Apr 27, 2026Joseph Lazzaro, Davide Buffelli, Da-shan Shiu +1Thompson SamplingBayesian Optimization

  10. Stochastic simultaneous optimistic optimization

    Apr 27, 2026Michal Valko, Alexandra Carpentier, Rémi MunosStochastic OptimizationMaximization

  11. Modulating Cross-Modal Convergence with Single-Stimulus, Intra-Modal Dispersion

    Apr 23, 2026Eghbal A. Hosseini, Brian Cheung, Evelina Fedorenko +1Cross-Modal LearningImplicit Neural Representations

  12. Lyapunov-Certified Direct Switching Theory for Q-Learning

    Apr 21, 2026Donghwan LeeQ-LearningLyapunov Function

  13. Accelerating Optimization and Machine Learning through Decentralization

    Apr 21, 2026Ziqin Chen, Zuang Wang, Yongqiang WangDecentralizationMachine Learning

  14. Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale

    Apr 20, 2026A. Sophia Koepke, Daniil Zverev, Shiry Ginosar +1Cross-Modal LearningConvergence

  15. Trajectory-Restricted Optimization Conditions and Geometry-Aware Linear Convergence

    Apr 18, 2026Faris Chaudhry, Anthea Monod, Keisuke YanoConvergence AnalysisRegularity

  16. Convergence theory for Hermite approximations under adaptive coordinate transformations

    Apr 18, 2026Yahya SalehFourierNormalizing Flows

  17. Towards Universal Convergence of Backward Error in Linear System Solvers

    Apr 17, 2026Michał Dereziński, Yuji Nakatsukasa, Elizaveta RebrovaBackward InductionConvergence

  18. Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier

    Apr 16, 2026Come Fiegel, Pierre Menard, Tadashi Kozuno +2Imperfect-Information GamesMirror Descent

  19. When Flat Minima Fail: Characterizing INT4 Quantization Collapse After FP32 Convergence

    Apr 16, 2026Marcus ArmstrongQuantizationLLM Post-Training Methods

  20. FedIDM: Achieving Fast and Stable Convergence in Byzantine Federated Learning through Iterative Distribution Matching

    Apr 16, 2026He Yang, Dongyi Lv, Wei Xi +3Federated LearningByzantine Attacks

  21. CLion: Efficient Cautious Lion Optimizer with Enhanced Generalization

    Apr 16, 2026Feihu Huang, Guanyi Zhang, Songcan ChenConvergence Analysis

  22. ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics

    Apr 1, 2026Zeyu Xia, Tyler Kim, Trevor Reed +3High Energy PhysicsPhysics-Informed Machine Learning

  23. Revisiting the Platonic Representation Hypothesis: An Aristotelian View

    Feb 16, 2026Fabian Gröger, Shuo Wen, Maria BrbićImplicit Neural RepresentationsHypothesis

  24. Constant-Stepsize Stochastic Approximation: Finite-Time Convergence, Gaussian Approximation, and Tail Bounds

    Feb 15, 2026Zedong Wang, Yuyang Wang, Ijay Narang +3Stochastic ApproximationFinite Time Analysis

  25. Convergence Rates for Distribution Matching with Sliced Optimal Transport

    Feb 11, 2026Gauthier Thurin, Claire Boyer, Kimia NadjahiOptimal TransportWasserstein Distance

  26. SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and Guidelines

    Jan 4, 2026Itai Morad, Nir Shlezinger, Yonina C. EldarKnowledge DistillationStochastic Gradient Descent

  27. The 4/δδ Bound: Designing Predictable LLM-Verifier Systems for Formal Method Guarantee

    Nov 30, 2025Pierre Dantas, Lucas Cordeiro, Youcheng Sun +1Formal VerificationVerifier

  28. Non-Euclidean SGD for Structured Optimization: Unified Analysis and Improved Rates

    Nov 14, 2025Dmitry Kovalev, Ekaterina BorodichStochastic Gradient DescentConvergence Analysis

  29. Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer

    Nov 10, 2025Steffen Dereich, Thang Do, Arnulf Jentzen +1AdamStochastic Smooth Convex Optimization

  30. A Nesterov-Accelerated Byzantine-Robust Federated Learning

    Nov 4, 2025Lihan Xu, Xiaoyi Fan, Gang Wang +3Byzantine AttacksFederated Learning

  31. Monitoring Transformative Technological Convergence Through LLM-Extracted Semantic Entity Triple Graphs

    Oct 29, 2025Alexander Sternfeld, Andrei Kucharavy, Dimitri Percia David +3TechnologyRdf

  32. Finite-Time Convergence of Single-Trajectory Chi-Square Robust Q-Learning With Linear Function Approximation

    Oct 2, 2025Saptarshi Mandal, Yashaswini Murthy, R. SrikantQ-LearningModel-Free Reinforcement Learning

  33. Convergence Analysis of the ProbAbilistic Gradient Estimator Algorithm for Weakly Convex Finite-Sum Optimization

    Aug 31, 2025Laurent Condat, Peter RichtárikConvergence AnalysisConvex Sets

  34. Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks for the Poisson Equation

    Aug 29, 2025Bangti Jin, Longjun WuConventional Physics-Informed Neural NetworksStochastic Gradient Descent

  35. On the Effectiveness of the z-Transform Method in Quadratic Optimization

    Jul 4, 2025Francis BachConvergence AnalysisZeroth-Order Optimization

  36. Continuous Policy and Value Iteration for Stochastic Control Problems and Its Convergence

    Jun 9, 2025Qi Feng, Gu WangStochastic Optimal ControlValue Functions

  37. No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference

    May 26, 2025Pranav Mani, Peng Xu, Zachary C. Lipton +1Finite-SampleNoisy Labels

  38. Reinforcement Learning in Switching Non-Stationary Markov Decision Processes: Algorithms and Convergence Analysis

    Mar 24, 2025Mohsen Amiri, Sindri MagnússonMarkov Decision ProcessesConvergence Analysis

  39. Nonasymptotic CLT and Error Bounds for Linear Two-Time-Scale Stochastic Approximation

    Feb 14, 2025Seo Taek Kong, Sihan Zeng, Thinh T. Doan +1Stochastic ApproximationCentral Limit Theorem

  40. Low-dimensional adaptation of diffusion models: Convergence in total variation

    Jan 22, 2025Jiadong Liang, Zhihan Huang, Yuxin ChenScore-Based Diffusion ModelDenoising Diffusion Probabilistic Model

  41. Convergence Rate Analysis of LION

    Nov 12, 2024Yiming Dong, Huan Li, Zhouchen LinConvergence AnalysisStochastic Smooth Convex Optimization

  42. Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent

    Sep 13, 2024Sayan Banerjee, Krishnakumar Balasubramanian, Promit GhosalGradient DescentConvergence

  43. Decentralized Best-Response-Based Learning in Two-Player Zero-Sum Stochastic Games: A Finite-Sample Analysis

    Sep 2, 2024Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar +2Zero--Sum Differential GameImperfect-Information Games

  44. Adversarial dynamical systems characterize when data-driven learning succeeds or fails

    Jul 8, 2024Matthew J. Colbrook, Igor Mezić, Alexei StepanenkoKoopman OperatorLow-Data Regimes

  45. Convergence Analysis of Sequential Federated Learning on Heterogeneous Data

    Nov 6, 2023Yipeng Li, Xinchen LyuFederated LearningConvergence Analysis

  46. Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification

    Jan 6, 2022Saptarshi Chakraborty, Debolina Paul, Swagatam DasEstimatorsFinite Time Analysis

  47. Partial GFlowNet: Accelerating Convergence in Large State Spaces via Strategic Partitioning

    Date pendingXuan Yu, Xu Wang, Rui Zhu +2Generative Flow NetworksState Space

  48. Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models

    Date pendingDaniel Zhengyu Huang, Jiaoyang Huang, Zhengjiang LinStochastic Differential EquationsClassical Numerical Solver

  49. Stability and Convergence of Optimistic Exponential Weights with Asymmetric Step Sizes in Bimatrix Games

    Date pendingHédi Hadiji, Sarah SachsImperfect-Information GamesEquilibrium