Regularization

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Period ending 2026-09-21

16 new papers

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  1. Global Convergence of Gradient Descent for Score Matching in Gaussian Mixtures via Reverse Fisher Divergence

    Jun 18, 2026Alexander TyurinGaussian Mixture ModelsGradient Descent

  2. Convex training of Lipschitz-regularized shallow neural networks

    Jun 17, 2026Chao Yin, Antoine Lesage-LandryLipschitz ConstantTwo-Layer Neural Networks

  3. Displacement Is Not Direction: Evaluating Fidelity Metrics for Quantized LLM Deployment

    Jun 17, 2026Miloš Nikolić, Ali Hadi Zadeh, Enrique Torres Sanchez +1Large Language Model QuantizationKullback-Leibler Divergence

  4. Low-Rank Tensor Completion Based on Fractional Regularization with Ky Fan p-k Norm

    Jun 17, 2026Shan Fan, Feng Zhang, Jianjun Wang +2Tensor CompletionSpectral Norm

  5. A Variational Framework for LLM Generator-Regulator Games

    Jun 16, 2026Quanyan ZhuEntropy-Regularized Equilibrium SelectionAutoregressive Language Models

  6. LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM Agents

    Jun 16, 2026Haoyang Fang, Wei Zhu, Boran Han +11Reinforcement Learning Post-TrainingExploration-Exploitation Dilemma

  7. Catastrophic Forgetting is Low-Rank: A Function-Space Theory for Continual Adaptation

    Jun 16, 2026Ido Nitzan Hidekel, Dan RavivCatastrophic ForgettingNeural Tangent Kernel

  8. Differential Privacy of Gaussian Process Posterior Sampling

    Jun 16, 2026Tomasz MaciazekDifferential PrivacyGaussian Process

  9. Expanding SPHERE-JEPA: A Family of Statistical Regularizers for the Hypersphere

    Jun 16, 2026Léo Nicollier, Enric Meinhardt-Llopis, Max Dunitz +3Regularization TechniquesMaximum Mean Discrepancy

  10. Non-negative Matrix Factorisation with Topological Regularisation

    Jun 16, 2026Matias de Jong van Lier, Shizuo Kaji, Keunsu KimNonnegative Matrix FactorizationPersistent Homology

  11. Perron--Frobenius Operator Matching for Generative Modeling

    Jun 16, 2026Shiqi Zhang, Wuwei Wu, Jaemin Oh +2Generative ModelsBregman Divergences

  12. Constrained Diffusion Models with Primal-Dual Inference

    Jun 15, 2026Samar Hadou, Yigit Berkay Uslu, Alejandro RibeiroDiffusion SamplingPrimal-Dual Methods

  13. Regularized Machine Learning for System Identification of Ship Free-Running Manoeuvres from CFD-Based Synthetic Data: A Comparative Study

    Jun 15, 2026R. F. Suárez, J. C. Berndt, M. Abdel-MaksoudSystem IdentificationFluid Dynamics

  14. Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees

    Jun 15, 2026Marta Gentiloni Silveri, Giovanni Conforti, Alain DurmusWasserstein Gradient FlowsGenerative Models

  15. On the Entropy Formula for Real, Complex, and Quaternionic Deep Linear Networks

    Jun 15, 2026Luis Contreras, Marco Nahas, Tejas KotwalDeep NetworkQuaternion

  16. Noise-Driven Escape from Metastable Phases explains Grokking in Deep Neural Networks

    Jun 15, 2026Ibrahim Talha Ersoy, Karoline WiesnerGrokkingPhase Transitions

  17. Dual-Granularity Orthogonal Disentanglement for Generalizable Audio Deepfake Detection

    Jun 15, 2026Zhuodong Liu, Hugen Lv, Xiangyu Li +1Audio Deepfake DetectionRegularization Techniques

  18. Not all Jensen-Shannon Divergence Estimators are Equal

    Jun 15, 2026Alba Garrido, Alejandro Almodóvar, Mar Elizo +3Divergence

  19. LiFT: Local Search via Linear Programming for Overfitting-Controlled Transformers

    Jun 15, 2026Abhishek Shukla, Anikeit Khanna, Ankur Sinha +1FinetuningTransformer Architectures

  20. HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation

    Jun 14, 2026Zhuangzhi Gao, Feixiang Zhou, He Zhao +11Medical Image SegmentationStatistical Shape Model

  21. SpatialAvatar-0: High-Quality 4D Head Avatar with Multi-Stage Reconstruction

    Jun 14, 2026Yiran Wang, Zeyu Zhang, Yuanming Li +2Animatable 3D Human AvatarsHigh-Fidelity Avatar

  22. Localizing Credit at the Divergence: Path-Conditioned Self-Distillation for LLM Reasoning

    Jun 14, 2026Yu Li, Shu Hong, Tian LanUnsupervised On-Policy Self-DistillationOn-Policy Distillation

  23. LearnOpt: Recovering the Latent Cognitive Structure of Standardized Examinations via Knowledge Graphs and Constrained Optimization

    Jun 13, 2026Joy Bose, Om ThomasExaminersLearn

  24. Conformal Candidate Certification for Offline Model-Based Optimization

    Jun 13, 2026Seungjin ChoiConformal CalibrationConformal Prediction

  25. Directing Open-Ended Evolution in Artificial Life via Multi-Scale Path Divergence

    Jun 12, 2026Mikhail Akhtyrchenko, Mikhail I. Katsnelson, Andrey UstyuzhaninEvolutionBiological

  26. Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks

    Jun 12, 2026Greg Ongie, Rahul ParhiMetric SpacesKernel Hilbert Spaces

  27. Sensitivity Shaping for Latent Modeling

    Jun 12, 2026Hongzhan Yu, Chenghao Li, Ruipeng Zhang +2Latent DynamicsObstacle Avoidance

  28. Jury Duty: Calibration and Orientation Failures in MLLM-as-a-Judge Under Cultural Ambiguity

    Jun 12, 2026Daniel Lee, Harsh Sharma, Eunkyu Park +5Llm-As-A-JudgeCultural Knowledge

  29. A Bregman Perspective on Classification and Regression Trees

    Jun 12, 2026Mathias BourelDecision TreesBregman Divergences

  30. Output-Level Regularization Eliminates the Seed Lottery in Single-GPU VLA Fine-Tuning

    Jun 11, 2026Jeffrin Sam, Dzmitry TsetserukouPretrained Vision-Language-ActionVision-Language-Action Models

  31. Redesigning Regularization for Effective Policy Smoothing

    Jun 11, 2026Taisuke Kobayashi, Naoto YamanakaSmoothingRegularization Techniques

  32. Certified World Models: Predictability Across Configuration, Horizon, and Resolution

    Jun 11, 2026Hongbo WangWorld ModelsReward-Prediction Error

  33. Variational Deep Unfolding with Mamba-Based Nonlocal Modeling for Underwater Image Enhancement

    Jun 10, 2026Daniel Torres, Julia Navarro, Catalina Sbert +1Underwater Image EnhancementDeep Unfolding Networks

  34. Range Penalization: Theoretical Insights with Applications in Federated Learning

    Jun 9, 2026Yiyuan She, Zhaojun Hu, Yifan SunFederated LearningRegularization Techniques

  35. Rethinking the Divergence Regularization in LLM RL

    Jun 8, 2026Jiarui Yao, Xiangxin Zhou, Penghui Qi +3Trust RegionBregman Divergences

  36. Escaping the KL Agreement Trap in On-Policy Distillation

    Jun 8, 2026Haoran Xin, Anhao Zhao, Ying Sun +3On-Policy DistillationToken-Level Supervision

  37. Sample Where You Struggle: Sharpening Base Model Reasoning via Entropy-Guided Power Sampling

    Jun 7, 2026Hong Guo, Nianhui Guo, Christoph Meinel +1Importance SamplingEntropy-Regularized Equilibrium Selection

  38. Auditing Proprietary Alignment in Large Language Models: A Comparative Framework Without a Ground-Truth Standard

    Jun 7, 2026Alireza Arbabi, Florian KerschbaumLarge Language Model AlignmentAlgorithm Auditing

  39. GENERIC-FNO: Embedding Energy Conservation and Entropy Production into Fourier Neural Operators

    Jun 6, 2026Jason Sulskis, Sathya RaviFourier Neural OperatorsNeural Operators

  40. DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination

    Jun 6, 2026Yi Xie, Zhanke Zhou, Chentao Cao +2Multi-Agent Large Language ModelEquilibrium

  41. Model Multiplicity for Adversarial Detection in Small Language Model Training on Edge Devices

    Jun 5, 2026Stefan Behfar, Richard MortierModel-Agnostic DefenseSmall Language Models

  42. Covariance Shrinkage via Stochastic Interpolation

    Jun 5, 2026Mathieu Chalvidal, Florentin Coeurdoux, Eric Vanden-EijndenCovariance EstimationEmpirical Risk Minimization

  43. Closed-Form Spectral Regularization for Multi-Task Model Merging

    Jun 5, 2026Yongxian Wei, Runxi Cheng, Xingxuan Zhang +4Continual Model MergingModel Merging

  44. Constructing VAE Latent Spaces with Prescribed Topology

    Jun 5, 2026Jilles S. van Hulst, Jakub M. Tomczak, W. P. M. H. Heemels +1Variational AutoencoderManifolds

  45. Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws

    Jun 5, 2026Zhiwei Xu, Shihao Wu, Hanseul Cho +2Large Language Model PretrainingModel Pretraining

  46. ARAPDiffusion: ARAP Regularization for Diffusion-Based Deformable Shape Space Learning

    Jun 5, 2026Haibo Liu, Jinghan Ke, Haitao Yang +3Statistical Shape ModelLatent Diffusion Model

  47. Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis

    Jun 4, 2026Yan Wang, Tianyang HuTopological Data AnalysisSemantic Similarity Metrics

  48. PIVOT: Bridging Black-Scholes Implied-Volatility and Price Objectives via Differentiable Jäckel Operator

    Jun 4, 2026Raeid Saqur, Yannick Limmer, Anastasis Kratsios +2Derivative PricingStochastic Volatility

  49. Diffusion Models Observe Only Gradients: A Geometric Perspective on Score Matching Errors

    Jun 4, 2026Naïl B. Khelifa, Richard E. Turner, Ramji VenkataramananScore-Based Diffusion ModelKullback-Leibler Divergence

  50. Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification

    Jun 4, 2026Haoyang Hong, Zichen Wang, Quanquan Gu +1Kullback-Leibler RegularizationLinear Contextual Bandits

  51. Dead Directions: Geometric Singular Learning

    Jun 4, 2026Tejas Pradeep ShirodkarSingularityDeep Network

  52. Compositional Boundaries for Density Fusion

    Jun 4, 2026Ratan Bahadur Thapa, Ali Darijani, Jürgen Beyerer +1Bregman DivergencesBoundaries

  53. Prediction Under Imperfect Compression: A Theory of Approximate MDL

    Jun 3, 2026Qian Li, Xinyu Mao, Shang-Hua Teng +1Maximum LikelihoodReward-Prediction Error

  54. Dynamic Multi-Pair Trading Strategy in Cryptocurrency Markets with Deep Reinforcement Learning

    Jun 3, 2026Damian Lebiedź, Robert ŚlepaczukDecentralized FinanceDeep Reinforcement Learning

  55. Low-Rank Decay for Grokking in Scale-Invariant Transformers: A Spectral-Geometric View

    Jun 3, 2026Mingyu LiLow-Rank FactorizationRegularization Techniques

  56. Knockoffs-based False Discovery Rate Control and Simplification for Deep Neural Networks

    Jun 3, 2026Wenyu Liao, Yiqing Shi, Fang XieFalse Discovery RateScreening

  57. Graph Regularized Non-negative Reduced Biquaternion Matrix Factorization for Color Image Recognition

    Jun 2, 2026Hailang Wu, Yonghe Liu, Bingxuan Yu +1Nonnegative Matrix FactorizationMatrix Factorization

  58. Detecting and Mitigating Bias by Treating Fairness as a Symmetry Operation

    Jun 2, 2026Nishit SinghFairness-Aware LearningPrivacy-Preserving Framework

  59. BAHSD: Bridging the Long-tail Gap via Adaptive Distillation in Black-box Sequential Recommendation

    Jun 2, 2026Xi Zhou, Famin Wu, Mingming Li +4Multimodal RecommendationRecommender Systems

  60. Hierarchical Federated Learning with Dynamic Clustering and Adaptive Regularization for Robust Infrastructure Inspection

    Jun 2, 2026Yuhu Feng, Keisuke Maeda, Takahiro Ogawa +1Federated LearningStructural Health Monitoring