Kernel Hilbert Spaces

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3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Learning Conditional Expectation Operators via Functional Newton Updates

    Sep 28, 2026Thiago Ramos, Alek Fröhlich, Daniel Perazzo +1Density Ratio EstimationSpectral Representation Method

    Federal University of São Carlos · CSML, Istituto Italiano di Tecnologia and University of Genoa · CSML, Istituto Italiano di Tecnologia and University College London

  2. Hyperbolic Restricted Boltzmann Machine Neural Quantum State

    Sep 22, 2026H. L. DaoEntanglementKernel Hilbert Spaces

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

    Sep 10, 2026Jun-Yi Meng, Zheng-Chu Guo, Yuan MaoDistributionally-Robust OptimizationStochastic Gradient Descent

    School of Mathematical Sciences, Zhejiang University, Hangzhou 310058, P. R. China · College of Informatics, Huazhong Agricultural University, Wuhan 430070, P. R. China

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

    Aug 11, 2026Yijin Ni, Xiaoming HuoAlgorithmic FairnessDisparities

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0205 USA

  5. 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

    Optimization-based Control Group, Institute of Mathematics, Technische Universität Ilmenau, Germany · Department of Mathematics and Computer Science, Freie Universität Berlin, Germany · Faculty of Mathematics, Chemnitz University of Technology, Germany

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

    Jul 29, 2026Kisung You, Boram ChoKernel Hilbert SpacesNatural Language Inference

    Baruch College · Yale University

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

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

    Chair of Information Systems, Karlsruhe Institute of Technology, Am Fasanengarten 5, 76131 Karlsruhe, Germany · Department of Statistics, London School of Economics, Houghton Street, London, WC2A 2AE, UK

  8. Nesterov acceleration in optimizing over probability measures

    Jul 25, 2026Jiaqi Tang, Qin Li, Wilfrid GangboMomentum Stochastic Gradient DescentProbability Measures

    Department of Statistics, University of Wisconsin–Madison, Madison, WI 53706, USA · Department of Mathematics, University of Wisconsin–Madison, Madison, WI 53706, USA · Department of Mathematics, University of California, Los Angeles, Los Angeles, CA 90095, USA

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

    Jul 23, 2026Sergio A. AlvarezPrincipal Component AnalysisKernel Hilbert Spaces

    Department of Computer Science, Boston College, Chestnut Hill, MA 02467 USA

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

    Jul 6, 2026Kazumi Kasaura, Kei Tsukamoto, Kento Mori +6FormalizationKullback-Leibler Divergence

    1OMRON SINIC X Corporation · 2RIKEN · 3The University of Tokyo +3

  11. 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 Machine LearningQuantum Neural Networks

    Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 40704, Taiwan · Department of Industrial and Systems Engineering, 3306 Shelby Center, Auburn University, Auburn, AL, USA

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

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

    Department of Mathematics and Statistics, Portland State University, USA · The Translational Genomics Research Institute (TGen), USA

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

    Jun 22, 2026Ioannis KalogridisKernel Hilbert SpacesExponential Family

    School of Mathematics and Statistics, University of Glasgow, United Kingdom

  14. No Reference-Free Generalization in Quantum Machine Learning

    Jun 21, 2026Jeongho BangQuantum Machine LearningQubit

    Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul 03722, Republic of Korea · Department of Quantum Information, Yonsei University, Incheon 21983, Republic of Korea

  15. Subsampling for supervised learning in reproducing kernel Hilbert spaces

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

    Sorbonne Universit´e, LPSM, Paris, France

  16. Brownian Kernel Ladders

    Jun 14, 2026Mahdi Mohammadigohari, Giuseppe Di Fatta, Giuseppe Nicosia +1Kernel Hilbert SpacesLogarithmic Sobolev Inequalities

    Faculty of Engineering, Free University of Bozen-Bolzano, Via Bruno Buozzi 1, Bolzano, 39100, Italy · Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, 95123, Santa Sofia, 97, Italy · Center for Applied Optimization, Department of Industrial and Systems Engineering, University of Florida, FL 32611, Gainesville, USA

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

    Jun 12, 2026Greg Ongie, Rahul ParhiKernel Hilbert Spaces1B Parameters

    Marquette University · University of California, San Diego

  18. 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 SpacesUncertainty

    School of Power and Energy Northwestern Polytechnical University Xi’an, Shanxi 710129

  19. Bernstein-Schur Kernels: Random Features by Sketched Modulation and Radial Randomization

    Jun 8, 2026Taha BouhsineAtom-Averaged FeaturesKernel Hilbert Spaces

    Azetta AI

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

    Jun 3, 2026Andrew GracykNeural ApproximationsKernel Hilbert Spaces

    Department of Mathematics Purdue University West Lafayette, IN 47907, United States

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

    May 29, 2026Baptiste Leroux, Clément Dombry, Anne SabourinMulti-Quantile RegressionQuantile Regression

    Université Paris Cité, CNRS, MAP5, F-75006 Paris, France · Université Marie et Louis Pasteur, CNRS, LmB (UMR 6623), F-25000 Besançon, France · Université Paris Cité, Université Paris Saclay, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, F-75006, Paris, France

  22. Near-Optimal Regret in Adversarial Kernel Bandits

    May 26, 2026Yu-Jie Zhang, Hao Qiu, Jonathan Scarlett +1\Widetilde{\Mathcal{O}}(\Sqrt{T})$ RegretMinimax Rate

    National University of Singapore

  23. A Martingale Kernel Independence Test

    May 21, 2026Felix Laumann, Zhaolu Liu, Mauricio BarahonaTwo-Sample TestingConformal Test Martingales

    Imperial College London

  24. Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations

    May 18, 2026Baptiste Ferrere, Nicolas Bousquet, Fabrice Gamboa +1Shapley Additive ExplanationsExplainability

    EDF R&D, SINCLAIR Lab · Université de Toulouse · Sorbonne Université +2

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

    May 13, 2026Rafael OliveiraBayesian OptimizationNonlinearity

    The Commonwealth Scientific and Industrial Research Organisation (CSIRO) Sydney, Australia

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

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

    Automatic Control Laboratory, EPFL

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

    May 8, 2026Anastasis KratsiosLipschitz ContinuityKernel Hilbert Spaces

  28. 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

    Carl R. Woese Institute for Genomic Biology and the Coordinated Science Laboratory, University of Illinois Urbana-Champaign, Urbana, IL, 61801 USA · Department of Electrical and Computer Engineering and the Coordinated Science Laboratory, University of Illinois Urbana-Champaign, Urbana, IL, 61801 USA

  29. Gaussian mixture models in Hilbert spaces via kernel methods

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

    Friedrich-Alexander-Universität Erlangen-Nürnberg · Universidad Autónoma de Madrid · Mohamed bin Zayed University of Artificial Intelligence

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

    May 5, 2026Karsten BohlenOrdinary Differential EquationsAttractors

    arXiv:2605.03940v4

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

    May 4, 2026Marcos Matabuena, Mateo CámaraMetric SpacesGeneralized Linear Model

    Mohamed bin Zayed University of Artificial Intelligence · Signal Processing Applications Group, Universidad Politécnica de Madrid

  32. Measuring Differences between Conditional Distributions using Kernel Embeddings

    May 4, 2026Peter Moskvichev, Siu Lun Chau, Dino SejdinovicConditional DistributionMaximum Mean Discrepancy

    School of Mathematical Sciences, Adelaide University · College of Computing and Data Science, Nanyang Technological University

  33. 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 OduncuogluKernel Hilbert SpacesTopology

    Department of Physics, Yildiz Technical University, Istanbul, Turkey

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

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

    Department of Electrical & Computer Engineering, The Grainger College of Engineering, UIUC · Coordinated Science Laboratory, University of Illinois Urbana-Champaign (UIUC) · Siebel School of Computing and Data Science, The Grainger College of Engineering, UIUC +1

  35. Theoretical Refinement of CLIP by Utilizing Linear Structure of Optimal Similarity

    Oct 17, 2025Naoki Yoshida, Satoshi Hayakawa, Yuhta Takida +3Multimodal Contrastive LearningContrastive Loss

    The University of Tokyo · Sony Group Corporation · Sony AI

  36. A Kernel-based Stochastic Approximation Framework for Nonlinear Operator Learning

    Sep 14, 2025Jia-Qi Yang, Lei ShiProbabilistic Operator LearningNonlinear Operators

    School of Mathematical Sciences and Shanghai Key Laboratory for Contemporary Applied Mathematics, Fudan University, Shanghai 200433, China.

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

    Jul 4, 2025Francis BachMomentum Stochastic Gradient DescentConvergence

    SIERRA · Inria - Ecole Normale Sup´erieure · PSL Research University

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

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

    EURECOM · University of Tübingen, Tübingen AI Center Max Planck Institute for Intelligent Systems · Adelaide University Australian Institute for Machine Learning +1

  39. Nonparametric Control Koopman Operators

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

    Chair of Information-oriented Control, TU München, Germany · Control Systems Group, TU/e, Eindhoven, The Netherlands · Systems and Control Laboratory, HUNREN Institute for Computer Science and Control, Budapest, Hungary +2

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

    Mar 27, 2024Daniel Reem, Yair CensorApproximation AlgorithmsKernel Hilbert Spaces

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

    Feb 18, 2024Martin Rouault, Rémi Bardenet, Mylène MaïdaGibbsBayesian Quadrature

    1Univ. Lille, CNRS, Centrale Lille, UMR 9189 – CRIStAL, 59651 Villeneuve d’Ascq, France · 2Univ. Lille, CNRS, UMR 8524 – Laboratoire Paul Painlev´e, F-59000 Lille, France

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

    Date pendingJae-Hyun Baek, Jon-Lark KimSource-Channel CodingDataset Construction

    Department of Artificial Intelligence and Institute for Mathematical and Data Sciences Sogang University, Seoul, Korea · Department of Mathematics and Institute for Mathematical and Data Sciences Sogang University, Seoul, Korea