Kernel Hilbert Spaces

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Period ending 2026-09-14

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38 papers

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  1. Generalization Analysis of Distributed Kernel-based Robust Gradient Descent Algorithms

    Sep 10, 2026Jun-Yi Meng, Zheng-Chu Guo, Yuan MaoDistributional LearningGeneralization Bounds

  2. A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes

    Aug 11, 2026Yijin Ni, Xiaoming HuoFairness-Aware LearningDisparities

  3. Verifiable Regularity Criterion for Conditional Expectation Operators and Conditional Mean Embeddings with Applications to Nonparametric Regression, Bayesian Inverse Problems, and Koopman Operators

    Aug 6, 2026Maximiliano Hertel, Ilja Klebanov, Manuel Schaller +1Kernel Hilbert SpacesRegularity

  4. HOMER: Huber-of-Means for Efficient and Robust Estimation in Hilbert Spaces

    Jul 29, 2026Kisung You, Boram ChoEstimatorsKernel Hilbert Spaces

  5. Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD

    Jul 27, 2026Jose Cribeiro-Ramallo, Florian Kalinke, Zoltán SzabóMaximum Mean DiscrepancyKernel Hilbert Spaces

  6. Nesterov acceleration in optimizing over probability measures

    Jul 25, 2026Jiaqi Tang, Qin Li, Wilfrid GangboNesterovProbability Measures

  7. Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA

    Jul 23, 2026Sergio A. AlvarezReproducing Kernel Hilbert SpacesPrincipal Component Analysis

  8. Lean-Quantum: Toward AI-Assisted Formalization of Quantum Information

    Jul 6, 2026Kazumi Kasaura, Kei Tsukamoto, Kento Mori +6Information-Theoretic LimitsFormalization

  9. Beyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine Learning

    Jun 30, 2026Kung-Ming Lan, Edward HuangQuantum LearningQuantum Neural Networks

  10. Time Series Classification through Diffeomorphic Time Warping (DiffTW)

    Jun 22, 2026Vicky Geneva Haney, Kamel Lahouel, Victor Rielly +1Time-Series ClassificationTime Series

  11. Generalized nonparametric regression in reproducing kernel Hilbert spaces: Consistency and rates of convergence

    Jun 22, 2026Ioannis KalogridisKernel Hilbert SpacesExponential Family

  12. No Reference-Free Generalization in Quantum Machine Learning

    Jun 21, 2026Jeongho BangQuantum LearningQuantum

  13. Subsampling for supervised learning in reproducing kernel Hilbert spaces

    Jun 19, 2026Eyal Vayness, Maxime SangnierReproducing Kernel Hilbert SpacesKernel Hilbert Spaces

  14. Brownian Kernel Ladders

    Jun 14, 2026Mahdi Mohammadigohari, Giuseppe Di Fatta, Giuseppe Nicosia +1Kernel Hilbert SpacesOptimal Sample Complexity

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

    Jun 12, 2026Greg Ongie, Rahul ParhiDeep Neural NetworkMetric Spaces

  16. Hybrid Uncertainty Sensitivity Analysis Based on the HSIC for High-Dimensional Responses with Aleatory--Epistemic Separation

    Jun 12, 2026Shijie Zhong, Jiangfeng Fu, Pengfei WeiKernel Hilbert SpacesAerodynamics

  17. Shortcomings and capacities of real-constrained neural networks in complex spaces

    Jun 3, 2026Andrew GracykKernel Hilbert SpacesPolytopes

  18. Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approach

    May 29, 2026Baptiste Leroux, Clément Dombry, Anne SabourinQuantile RegressionExtrapolation

  19. Near-Optimal Regret in Adversarial Kernel Bandits

    May 26, 2026Yu-Jie Zhang, Hao Qiu, Jonathan Scarlett +1Reproducing Kernel Hilbert SpacesKernel Hilbert Spaces

  20. A Martingale Kernel Independence Test

    May 21, 2026Felix Laumann, Zhaolu Liu, Mauricio BarahonaConditional IndependenceConformal Test Martingales

  21. Kernel-based guarantees for nonlinear parametric models in Bayesian optimization

    May 13, 2026Rafael OliveiraBayesian OptimizationDynamic Regret Bounds

  22. Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework

    May 10, 2026Wenbin Wang, Colin N. JonesBayesian OptimizationReproducing Kernel Hilbert Spaces

  23. Structure-Preserving Reconstruction of Convex Lipschitz Functionals on Hilbert Spaces from Finite Samples

    May 8, 2026Anastasis KratsiosLipschitz ConstantConvex Sets

  24. A Behavioral Framework for Data-Driven Modeling of Nonlinear Systems in Vector-Valued Reproducing Kernel Hilbert Spaces

    May 8, 2026Boya Hou, Maxim RaginskySystem IdentificationReproducing Kernel Hilbert Spaces

  25. Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves

    May 7, 2026Kartik Tandon, Julian Gould, Tanishq Bhatia +3Geometric Machine LearningGraph Laplacians

  26. Gaussian mixture models in Hilbert spaces via kernel methods

    May 7, 2026Daniel López-Montero, Antonio Álvarez-López, Marcos MatabuenaKernel Hilbert SpacesGaussian Mixture Models

  27. Reentrant value fields as delayed coupled reaction-diffusion systems on finite graphs

    May 5, 2026Karsten BohlenOrdinary Differential EquationsAttractors

  28. Random-Effects Algorithm for Random Objects in Metric Spaces

    May 4, 2026Marcos Matabuena, Mateo CámaraGeneralized Linear ModelMetric Spaces

  29. Measuring Differences between Conditional Distributions using Kernel Embeddings

    May 4, 2026Peter Moskvichev, Siu Lun Chau, Dino SejdinovicMaximum Mean DiscrepancyConditional Distribution

  30. A Specialized Importance-Aware Quantum Convolutional Neural Network with Ring-Topology (IA-QCNN) for MGMT Promoter Methylation Prediction in Glioblastoma

    Apr 24, 2026Emine Akpinar, Murat OduncuogluBiomarkerQuantum

  31. UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels

    Apr 17, 2026Hangke Sui, Yuqing Wang, Minh N DoContrastive AlignmentLarge Multimodal Models

  32. Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings

    Feb 20, 2026Sreejith Sreekumar, Nir WeinbergerQuantum LearningKernel Hilbert Spaces

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

    Jul 4, 2025Francis BachNesterovOptimization Convergence Analysis

  34. Gaussian Processes and Reproducing Kernel Hilbert Spaces: Connections and Equivalences

    Jun 20, 2025Motonobu Kanagawa, Philipp Hennig, Dino Sejdinovic +1Reproducing Kernel Hilbert SpacesKernel Hilbert Spaces

  35. Nonparametric Control Koopman Operators

    May 12, 2024Petar Bevanda, Bas Driessen, Lucian Cristian Iacob +3Koopman OperatorReproducing Kernel Hilbert Spaces

  36. The best approximation pair problem relative to two subsets in a normed space

    Mar 27, 2024Daniel Reem, Yair CensorApproximation AlgorithmsMetric Spaces

  37. Monte Carlo with kernel-based Gibbs measures: Guarantees for probabilistic herding

    Feb 18, 2024Martin Rouault, Rémi Bardenet, Mylène MaïdaGibbs MeasuresMonte Carlo

  38. Formalizing building-up constructions of self-dual codes through isotropic lines in Lean

    Date pendingJae-Hyun Baek, Jon-Lark KimSource-Channel CodingKernel Hilbert Spaces