Regularization

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Period ending 2026-09-21

16 new papers

A weekly snapshot of new work published in Regularization.

Period ending 2026-09-14

18 new papers

A weekly snapshot of new work published in Regularization.

Period ending 2026-09-07

11 new papers

A weekly snapshot of new work published in Regularization.

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

    Aug 11, 2026Benjamin Faveri, Brie BhasinArtificial Intelligence GovernanceDivergence

  2. Information Bottleneck under Perfect Privacy

    Aug 11, 2026Junle Zhong, Mohamad Assaad, Sreejith SreekumarInformation BottleneckEntropy-Regularized Equilibrium Selection

  3. MoE Proxy Models for Low-Cost Failure Reproduction and Diagnosis in LLM RL Post-Training

    Aug 11, 2026Yikai Wang, Chuansai Zhou, Yuhang Zhou +10Reinforcement Learning Post-TrainingRobot Failures

  4. IADD-TR: Intervention-Aware Dynamics Decoupling with Targeted Regularization for Model-Based Reinforcement Learning

    Aug 11, 2026Zefeng Liang, Jie Qiao, Ruichu Cai +2Entropy Regularized Reinforcement LearningRegularization Techniques

  5. β-VAEs as Effective Theories: Tolerance-Dependent Dimension

    Aug 11, 2026Johannes HirnRepresentation CollapseVariational Autoencoder

  6. Not a Monolith: Lab-Level Divergence in the Cooperative Equilibria of Chinese Frontier LLM Agents

    Aug 10, 2026Francisco León Zúñiga BolívarCooperationFrontier Models

  7. From Objectives to What Models Learn: A Landau Theory of Invariant Learning

    Aug 10, 2026Pinli Wang, Yue He, Peng CuiRegularization TechniquesSingular Learning Theory

  8. Regret, equilibrium, and learning in games: A guided tour

    Aug 10, 2026Panayotis MertikopoulosImperfect-Information GamesRegret

  9. Trajectory Divergence Horizon Decision for Reliable Dual-Arm Surgical Subtask Manipulation

    Aug 10, 2026Mingwu Su, Guankun Wang, Jinsong Lin +8Robot-Assisted Minimally Invasive SurgeryGeneralizable Robotic Manipulations

  10. Exact Rank-Space KL Projection for Shared-Marginal Low-Rank Factors: Application to Doubly Stochastic Clustering

    Aug 9, 2026Enliang HuLow-Rank FactorizationProximal Gradient Descent

  11. Domain-Aware Pruning: Sparsity and Domain Generalization via Regularized Probabilistic Masking

    Aug 9, 2026Parham Sazdar, Mostafa Tavassolipour, Reshad HosseiniMultimodal Domain GeneralizationHeterogeneous Pruning Scores

  12. Curriculum Generation under Structured Parametric Environments for Robust Navigation Policies

    Aug 9, 2026Prishita RayCurriculum Reinforcement LearningEmbodied Navigation

  13. Unimodality-Promoting Regularized Learning for Ordinal Regression

    Aug 8, 2026Ryoya YamasakiRegularization TechniquesPosterior

  14. Eikonal Regularisation in Physics-Informed Neural Networks for Three-Dimensional Level-Set Advection: Transferability of Two-Dimensional Design Principles

    Aug 8, 2026Muhammad Akbar KhanConventional Physics-Informed Neural NetworksAdvection-Reaction-Diffusion

  15. Finite Constant Frontiers and Auditable Regret Certificates for Average-Reward Reinforcement Learning

    Aug 7, 2026Ibne Farabi Shihab, Abu Sa-Adat Mohamed Moon-Im Al Ahsan, Md Najmus SwaqeebEntropy Regularized Reinforcement LearningMarkov Decision Processes

  16. Wasserstein Policy Gradient for Entropy-Regularized Linear-Quadratic Control

    Aug 7, 2026Zhaoyu Zhu, Rui Gao, Shuang LiLinear Quadratic RegulatorPolicy Gradient

  17. Cascading Through the Hierarchy: Regularizer-Induced Feature Detection as Phase Transitions in Deep Linear Neural Networks

    Aug 6, 2026Björn Ladewig, Ibrahim Talha Ersoy, Karoline WiesnerFeature LearningLoss Landscape

  18. DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models

    Aug 6, 2026ZhiYan Hou, Xinyu Tang, Hongyan An +9Unsupervised On-Policy Self-DistillationOn-Policy Distillation

  19. GROM: Gradient-Free Rapid One-Shot Machine Unlearning

    Aug 6, 2026Paweł Batorski, Przemysław Spurek, Paul SwobodaGradient-Based OptimizationRegularization Techniques

  20. Revealed Rationality: Label-Free Evaluation and Regularization from Representation Theorems

    Aug 5, 2026Isaiah AndrewsRationalityLarge Language Model Decision-Making

  21. A geometry-based deep equilibrium model for image restoration under multiplicative Gamma noise

    Aug 5, 2026Shengkun Yang, Luca Ratti, Zhichang GuoImage RestorationGaussian Noise

  22. The Sample Complexity of Distributionally Robust PAC Learning under Cressie--Read Divergences

    Aug 5, 2026Elad Aigner-Horev, Daniel Rosenberg, Roi WeissOptimal Sample ComplexityDistributional Learning

  23. Not Every Divergence Should Be Suppressed: Counterfactual Recoverability in On-Policy Distillation

    Aug 5, 2026De Jiang, Zhengyang Zhang, Kehong Yuan +1On-Policy DistillationDivergence

  24. FlowForm: Synergizing Fluid Physics with Topological Consistency for Satellite Flood Synthesis

    Aug 4, 2026Zhang Weihui, Wang Ruizhi, Xu Hongye +3Flood DetectionSatellite Imagery

  25. UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics

    Aug 4, 2026Carson J. Cook, Ahmed J. Zerouali, Anthony Schmidt +3Per-Competency Bayesian Knowledge TracingLatent Variable

  26. Efficient Knowledge Distillation for LLMs: Offline Top-K Logits and a Fused Chunked KL Loss

    Aug 4, 2026Bakbergen Ryskulov, Iker García-Ferrero, David Montero +5Knowledge DistillationSmall Language Models

  27. Taming the Implicit: Dual-Channel Risk-Aware Reinforcement Fine-Tuning for Continual Multimodal Post-Training

    Aug 4, 2026Yibei Liu, Jiajun Chen, Qianle Zhang +4Reinforcement Fine-TuningMulti-Objective Policy Optimization

  28. Statistical learning theory and Occam's razor: Regularization

    Aug 4, 2026Tom F. SterkenburgRegularization TechniquesTheoretical Foundations

  29. One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning

    Aug 4, 2026Ning Zhu, Xiaochuan Ma, Juntao Xu +4Active LearningCold-Start

  30. Who Should Be Generated? Justifying Demographic Targets in Open-Ended Generation

    Aug 3, 2026Zeshen Zheng, Yujia He, Qianmian Lin +2DemographicsAlgorithm Auditing

  31. Exploring and Bridging Knowledge Holes in Unlearned Multimodal Large Language Models

    Aug 3, 2026Junxiang You, Junkai Chen, Yuhao He +3Large Language Model UnlearningMachine Unlearning

  32. Toward Plasticity-Preserving KL Regularization for Capability Retention in LLM Reinforcement Learning

    Aug 3, 2026Li Wang, Xiaodong Lu, Xiaohan Wang +4Kullback-Leibler RegularizationLarge Language Model Post-Training

  33. UDT: Reconciling U-Nets and Diffusion Transformers with Data-Adaptive Token Reduction

    Aug 2, 2026Junno Yun, Yaşar Utku Alçalar, Mehmet AkçakayaMultimodal Diffusion TransformersU-Net

  34. Active Regression for Single-Index Models with Unknown Link Functions

    Aug 2, 2026Chansophea Wathanak In, Yi Li, Wai Ming Tai +1Active LearningRegularization Techniques

  35. Reflected diffusion, no-flux continuity equations and confined Lagrangian flows in bounded domains

    Jul 30, 2026Rama ContFokker--Planck EquationLagrangian Methods

  36. Flux-OPD: On-Policy Distillation with Evolving Contexts

    Jul 30, 2026Yuran Wang, Zekun Wang, Bohan Zeng +10On-Policy DistillationRp-Opsd

  37. Latent States in Neural Networks: Recovering the Temporal Structure of Drifting Data from Model Weights

    Jul 29, 2026Kevin GuanLatent StatesModel Weights

  38. Temporally Centered SIGReg Improves Multi-Task LeWorldModel Learning: From Analysis to Method

    Jul 29, 2026Chang Liu, Fei Suo, Yanzhou Jin +3Latent World ModelsMulti--Task Learning

  39. Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning

    Jul 29, 2026Keegan Harris, Brian W. Lee, Ian Waudby-Smith +3Reinforcement Fine-TuningKullback-Leibler Regularization

  40. Sharpness-Aware Minimization and Muon: Robustness under the Spectral Norm

    Jul 28, 2026Wenzhi Zhong, Edward Milsom, Michael MurraySharpness-Aware MinimizationMuon Optimizer

  41. PIcsC: Partitioning-Induced Covariate Shift Correction

    Jul 28, 2026Behraj Khan, Behroz Mirza, Syed Ahmad Chan Bukhari +1Federated LearningPartitioning

  42. Divergence Decoding: Training-Free Capability Fusion

    Jul 28, 2026Yimi Wang, Hao Li, Shuo Yang +6DivergenceInference-Time Control

  43. When Can You Correct Distribution Drift in Temporal Graph Generation? A Sharpening--Drift Tension and an Impossibility for Observation-Based Correction

    Jul 27, 2026Tianpeng Li, Xuan Guo, Wenjun Wang +2Temporal GraphsGenerative Models

  44. Pointer-Augmented Autoregressive Generation of Patent Claims with Joint Topology and Content Decoding

    Jul 27, 2026Yongmin Yoo, Zhangkai Wu, Longbing CaoPatentAutoregressive Generation

  45. Smooth Learning with Hard Constraints via Legendre-Regularized Policies

    Jul 27, 2026Zikun Lin, Rui Chen, Yijie WangOptimal PoliciesRegularization Techniques

  46. Mutual Modality Trust with Lightweight Reconstruction Regularization for Fine-grained Tire Pattern Recognition

    Jul 27, 2026Jianning Yang, Jie Fang, Xinda Ma +3Robust Vehicle RecognitionFine-Grained Perception

  47. Grokking on the Weight-Decay Clock: A Rate Hierarchy from Softly Broken Symmetries

    Jul 27, 2026Taeyoung KimGrokkingParallel Liquid-Inspired Temporal Relaxation

  48. RODR: Riemannian Orthogonally Decoupled Regularization for Disentangled Manifold Representation

    Jul 27, 2026Jiayu Zhu, Wenlai ZhaoCertified Point-CloudGeometric Reconstruction

  49. Consistent Evidence, Robust Recognition: Faithful Attribution Regularization under Geometric Transformations

    Jul 26, 2026Xianghao Jiao, Ruoyu Chen, Wei Wang +6Training Data AttributionAttention-Guided Transunet

  50. Local Regularization Does Not Characterize Multiclass PAC Learnability

    Jul 26, 2026Eric HouMulticlass ClassificationSingular Learning Theory

  51. Stabilizing Deep Reconstruction Operators with Contractive Anchoring

    Jul 25, 2026Arghya Sinha, Trishit Mukherjee, Kunal N. ChaudhuryImage ReconstructionImage Denoising

  52. Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions

    Jul 24, 2026Quyen Tran, Hai Nguyen, Quan Dao +4Domain Incremental LearningRegularization Techniques

  53. Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent

    Jul 24, 2026Peng ZhaoRegularization TechniquesQuadratic Slack Penalty

  54. From level set evolution to threshold optimization: A grayscale level set framework for image segmentation

    Jul 24, 2026Xingkai Li, Jiebao Sun, Fanghui Song +1Robust SegmentationVisual Degradation

  55. Why Large Language Models and Humans Converge and Diverge in Evaluating Creativity

    Jul 24, 2026Pengzhao Lyu, Yeun Joon Kim, Hanlin Xiao +1CreativityLarge Language Model Evaluation

  56. Trajectory-Regularized Stochastic Optimal Control via KL Divergence

    Jul 24, 2026Mintae Kim, Koushil SreenathStochastic Optimal ControlKullback-Leibler Regularization

  57. From Score Approximation to Distribution Approximation in Score-Based Diffusion Models

    Jul 24, 2026Lan V. TruongScore-Based Diffusion ModelNeural-Network Approximation

  58. Unbiased Open World Regularization for Fair Self-Supervised Learning

    Jul 24, 2026L{é}o Nicollier, Marc Pic, Pablo Mus{é} +2Self-SupervisedRegularization Techniques

  59. FAIR: Feature-Augmented Implicit Regularization for AI-generated Fake Image Detection

    Jul 24, 2026Md Redwanul Haque, Manzur Murshed, Manoranjan Paul +1Ai-Generated Image DetectionRegularization Techniques

  60. A Smooth Phase-Separation Model for Weak-Boundary Segmentation of Homogeneous Structures

    Jul 24, 2026Zihan Li, Jiebao Sun, Fanghui Song +1Sharp Boundary DelineationVariational