Random Feature Methods

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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. Online Supervised Dimension Reduction with Random Features: Diagnostics and Computational Trade-offs

    Sep 17, 2026Zhenlin Yao, Wei XiongPrincipal Component AnalysisRandom Feature Methods

    School of Statistics University of International Business and Economics Beijing, China

  2. Physics Informed Random Feature Neural Networks for Solving PDEs

    Sep 14, 2026Chi-An Chen, Chunyang Liao, Ming ZhongPDE SolvingRandom Feature Methods

    Department of Applied Mathematics, Mathematics, Illinois Institute of Technology, Chicago, IL, 60616 · Department of Mathematical Sciences, University of Arkansas, Fayetteville, AR, 72701 · Department of Mathematics, University of Houston, Houston, TX, 77204

  3. A Quantum-Inspired Dequantization Method for Diagonally Weighted Matrix Functions: Application to Learning with Optimized Random Features

    Sep 9, 2026Natsuto Isogai, Mio Murao, Hayata YamasakiQuantum-Inspired MLRandom Feature Methods

    Department of Physics, Graduate School of Science, The University of Tokyo, Tokyo, Japan · Department of Computer Science, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

  4. Spectral Convergence of Random Feature Method in Multiple Dimensions

    Sep 3, 2026Pingbing Ming, Hao YuPDE SolvingRandom Feature Methods

  5. Uncertainty-Aware Ensemble Deep Randomized Neural Networks for Classification

    Aug 7, 2026M. Sajid, A. Quadir, A. Rahaman +2Ensemble LearningNeural Network Robustness

    Indian Institute of Technology Indore, Simrol, Indore, India · Qatar University, Qatar

  6. Random features for Grassmannian kernel approximation with bounded rank-one projections

    Aug 4, 2026Rémi Delogne, Laurent JacquesGeometric Representation LearningRandom Feature Methods

    INMA/ICTEAM, UCLouvain, Belgium

  7. A Coulomb Particle Model for Learning Kernel Attention in Transformers

    Jul 26, 2026Masoud Badiei Khuzani, Sharath Honnaiah, Atiq Islam +2Transformer AttentionEfficient Attention

    eBay Inc., San Jose, CA, USA

  8. A Structure-Adaptive Random Feature Method for High-Dimensional Elliptic PDEs

    Jul 22, 2026Jiale Linghu, Hao Dong, Yangshuai WangPDE SolvingRandom Feature Methods

    School of Mathematics and Statistics, Xidian University, Xi’an 710071, China. · Department of Mathematics, National University of Singapore, 10 Lower Kent Ridge Road, 119076, Singapore

  9. Accurate and Resource-Efficient Federated Continual Learning

    Jun 9, 2026Jebacyril Arockiaraj, Dhruv Parikh, Jayashree Adivarahan +2Communication-Efficient Distributed TrainingContinual Learning

    University of Southern California · Los Angeles, USA · DEVCOM Army Research Office +1

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

    Jun 8, 2026Taha BouhsineFourier Feature EmbeddingsKernel Ridge Regression

    Azetta AI

  11. Generating Financial Time Series by Matching Random Convolutional Features

    Jun 3, 2026Konrad J. Mueller, Nikita Zozoulenko, Ben Wood +2Time Series GenerationRandom Feature Methods

    Imperial College London · JPMorgan Chase & Co.‡

  12. HalfNet: Randomized Neural Networks with Learned Subspace Geometry

    Jun 3, 2026Ethem AlpaydinNeural Representation GeometryRandom Feature Methods

    Independent Researcher Istanbul, Turkey

  13. Conditional KRR: Injecting Unpenalized Features into Kernel Methods with Applications to Kernel Thresholding

    May 25, 2026Rustem Takhanov, Zhenisbek AssylbekovKernel Ridge RegressionKernel Regression

    Department of Mathematics, Nazarbayev University, Astana, Kazakhstan · Nazarbayev University Research Administration, Astana, Kazakhstan · Purdue University Fort Wayne, Indiana, USA.

  14. Worse than Random: The Importance of a Baseline for Unsupervised Feature Selection

    May 21, 2026Muhammad Rajabinasab, Michael E. Houle, Oussama Chelly +1Unsupervised LearningRandom Feature Methods

    University of Southern Denmark, Odense, Denmark · New Jersey Institute of Technology, Newark, NJ, United States · oratio Technologies, Tunis, Tunisia

  15. Randomized Atomic Feature Models for Physics-Informed Identification of Dynamic Systems

    May 14, 2026Rajiv Singh, Mario Sznaier, Lennart LjungRandom Feature MethodsSystem Identification

    ∗The MathWorks Inc., 1 Apple Hill Drive, Natick, MA 01760 USA · ∗∗ECE Dept., Northeastern University, Boston, MA 02115, USA · ∗∗∗Div. of Automatic Control, Linköping University, Sweden

  16. Fourier Feature Methods for Nonlinear Causal Discovery: FFML Scoring, TRFF Scoring, and FFCI Testing in Mixed Data

    May 7, 2026Joseph D. RamseyFourier Feature EmbeddingsCausal Discovery

    Department of Philosophy Carnegie Mellon University Pittsburgh, PA 15213

  17. Green-ELM: Efficient Analytic Learning via High-Dimensional Random Projections

    Apr 17, 2026Wladimir SilvaNeural Network OptimizationRandom Feature Methods

    Department of Computer Engineering North Carolina State University

  18. Computationally-efficient Graph Modeling with Refined Graph Random Features

    Oct 9, 2025Krzysztof Choromanski, Avinava Dubey, Arijit Sehanobish +1Graph Representation LearningRandomized Sketching

    Google DeepMind, New York, NY, USA · Columbia University, New York, NY, USA · Google Research, Mountain View, CA, USA +2