Kernel Ridge Regression

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6 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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  1. Exact Calibration and Sharp Risk Geometry for Volume-Sampled Ridge Regression

    Oct 6, 2026Kihun RheeKernel Ridge RegressionFinite-Sample

  2. Principal Component Regression Dominates all Monotone Spectral Filters for Linear Regression

    Sep 30, 2026Juno Kim, Hengyu Fu, Peter Bartlett +2Kernel Ridge RegressionSpectral Filtering

    University of California, Berkeley · Google DeepMind

  3. Learn-Then-Differentiate Gradient Estimation

    Sep 30, 2026Nifei Lin, Qingkai Zhang, L. Jeff HongGradientImplicit Differentiation

    Research Institute for Interdisciplinary Sciences, School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China · Department of Decision Analytics and Operations, City University of Hong Kong, Hong Kong, China · Department of Industrial and Systems Engineering, University of Minnesota, Minneapolis, Minnesota 55455

  4. The Advantages of Fresh Sketching for Ridge Regression

    Sep 29, 2026Linkai Ma, Qilin Li, Petros DrineasKernel Ridge RegressionSketches

    Purdue University · University of Wisconsin-Madison

  5. Flattening the Connectome Spectrum: A Spectral Filter for FC Induces a Pretraining Target for fMRI Encoders

    Sep 29, 2026Giovanni Marraffini, Victoria Shevchenko, Carlo Alberto Barbano +1Functional ConnectivityHuman Connectome Project

    UNITO · MIND

  6. Recovering Governing Dynamics from Distributed Observations via Exact Spline Merging

    Sep 15, 2026Naveen MysoreSpatiotemporal FieldsSplines

    University of California, Santa Barbara · Dyssonance AI

  7. Structured Extrema Errors in Classical Surrogates for Viscous Burgers: A Physics-Consistent Interpretation

    Sep 7, 2026Youssef OubariSurrogate ModelsOne-Dimensional Viscous Burgers Equation

    IMT Atlantique, France

  8. Benchmarking External Generalization of SPD Matrix Learning for Resting-State fMRI Connectome Prediction

    Aug 31, 2026Ce Ju, Antoine Collas, Florent Bouchard +1Human Connectome ProjectFull-Rank Correlation Matrices

    Inria, CEA, Universit´e Paris-Saclay, Palaiseau, France · Universit´e Paris-Saclay, CNRS, CentraleSup´elec, L2S, France

  9. High-dimensional ridgeless least squares interpolation under spiked covariance structures

    Aug 7, 2026Zhijun Liu, Dandan JiangKernel Ridge RegressionCovariance

    College of Sciences, Northeastern University, China. · School of Mathematics and Statistics, Xi’an Jiao Tong University, China.

  10. Align-RAG: Alignment Is All You Need for TSFM In-Context Learning

    Aug 6, 2026Mohammad Asadi, Soheil Hor, Bardiya Akhbari +6Retrieval-Augmented ForecastingTime Series Foundation Models

    1Stanford University 2Amazon

  11. Nonparametric Goodness-of-fit Testing under Covariate Shift

    Aug 5, 2026Zhen Hou, Dong XiaCovariate ShiftExponential Family

    Department of Mathematics Hong Kong University of Science and Technology

  12. A Simple Approximation to the Distribution of the Ridge Regression Estimator

    Aug 3, 2026José Luis Montiel Olea, Ryan Strong, Amilcar Velez +2Kernel Ridge RegressionHeteroskedasticity

    Department of Economics at Cornell University

  13. The Noise Premium in Adversarial Training for Kernel Regression

    Jul 30, 2026Yiling Xie, Xiaoming HuoKernel Ridge RegressionAdversarial Training

    Department of Decision Analytics and Operations, City University of Hong Kong · H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology

  14. Distributed Convolutional Rank Regression over Decentralized Networks

    Jul 26, 2026Chunjing Li, Tiange Zhao, Xiaohui YuanDecentralized LearningKernel Ridge Regression

    School of Mathematics and Statistics, Changchun University of Technology, Changchun 130012, Jilin, China

  15. De-floored Principal Component Regression: When Rank Selection Alone Is Insufficient for Prediction

    Jul 18, 2026Peng ZhaoPrincipal Component AnalysisKernel Ridge Regression

    Department of Applied Economics and Statistics, University of Delaware

  16. Learning dynamical systems from noisy data with Weak-form Kernel Ridge Regression

    Jun 30, 2026Max Kreider, John Harlim, Daning HuangKernel Ridge RegressionDynamical Systems

    Department of Mathematics The Pennsylvania State University, University Park, PA 16802, USA · Department of Mathematics, Institute for Computational and Data Sciences The Pennsylvania State University, University Park, PA 16802, USA · Department of Aerospace Engineering The Pennsylvania State University, University Park, PA 16802, USA

  17. Solve for the Hyperparameter, Skip the Search: Kolmogorov-Optimal Scaling Laws for Spline Regression

    Jun 22, 2026Yong Yi Bay, Kathleen A. YearickKernel Ridge RegressionGeneral Grid Search Framework

    PhD, University of Illinois at Urbana-Champaign

  18. CLARITree: Cholesky and Lookahead Accelerations for Regression with Interpretable Piecewise Linear Trees

    Jun 11, 2026Yixiao Wang, Hayden McTavish, Varun Babbar +2Decision TreesKernel Ridge Regression

    Department of Computer Science, Duke University, Durham, USA · Department of Computer Science, University of British Columbia, Vancouver, Canada

  19. When New Generators Arrive: Lifelong Machine-Generated Text Attribution via Ridge Feature Transfer

    Jun 4, 2026Zhen Sun, Yifan Liao, Zhicong Huang +4Text GenerationGenerators

    Wuhan University · Ant Group · The Hong Kong University of Science and Technology (Guangzhou) +1

  20. Perturbative methods for non-parametric instrumental variable

    May 29, 2026Wei Bu, Arthur GrettonKernel Ridge RegressionExponential Family

    Harvard University, Northeastern University, Physics Department · University College London.

  21. Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization

    May 28, 2026Petar JolakoskiKernel Ridge RegressionRegularization

    Research Center for Computer Science and Information Technologies, Macedonian Academy of Sciences and Arts, Bul. Krste Misirkov 2, 1000 Skopje, Macedonia

  22. Optimal ridge regularization revisited

    May 27, 2026Jack Timmermans, Sergio A. AlvarezKernel Ridge RegressionRegularization

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

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

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

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

  24. Efficient Benchmarking Is Just Feature Selection and Multiple Regression

    May 25, 2026Sam Bowyer, Acyr Locatelli, Kris CaoLarge Language Model BenchmarksRelevance

    Cohere, University of Bristol · Work done during an internship at Cohere. · Cohere

  25. Data-Specific Hyper-Parameter Design: A Paradigm Shift in Reservoir Computing

    May 24, 2026G Manjunath, Juan-Pablo Ortega, Alma van der MerweReservoir ComputingReservoir

    University of Pretoria. Department of Mathematics and Applied Mathematics. Pretoria 0002, South Africa. · Nanyang Technological University. Division of Mathematical Sciences. School of Physical and Mathematical Sciences. Singapore.

  26. Diversified Residual Symbolic Regression

    May 15, 2026Koki Ikeda, Masahiro Nomura, Ryoki HamanoSymbolic RegressionKernel Ridge Regression

    CyberAgent Shibuya, Tokyo, Japan · Institute of Science Tokyo Meguro, Tokyo, Japan

  27. Average Gradient Outer Product in kernel regression provably recovers the central subspace for multi-index models

    May 14, 2026Libin Zhu, Damek Davis, Dmitriy Drusvyatskiy +1Kernel Ridge RegressionKernel Method

    Department of Mathematics, University of Washington, Seattle, WA 98195 · Wharton Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA 19104, USA · Department of Mathematics, U. Washington, Seattle, WA 98195 +1

  28. Large Dimensional Kernel Ridge Regression: Extending to Product Kernels

    May 14, 2026Yang Zhou, Yicheng Li, Yuqian Cheng +1Kernel Ridge RegressionKernel Method

    Department of Statistics and Data Science Tsinghua University Beijing, 100084, China · Department of Mathematical Science Tsinghua University Beijing, 100084, China

  29. On Kernel Eigen-alignments of KRR: Reconstruction and Generalization

    May 14, 2026Yang Liu, Ernest Fokoue, Richard Lange +1Kernel Ridge RegressionSpectral Decomposition

    Galisano College of Coumputing and Information Science · Rochester Institute of Technology · Rochester, NY +1

  30. Non-Parametric Rehearsal Learning via Conditional Mean Embeddings

    May 9, 2026Wen-Bo Du, Tian-Zuo Wang, Han-Jia Ye +1Learning-Augmented AlgorithmsKernel Ridge Regression

    National Key Laboratory for Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China

  31. Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression

    May 8, 2026Mingsong Yan, Dongyang Li, Charles Kulick +1Kernel Ridge RegressionTransformer Attention

    Department of Mathematics, University of California, Santa Barbara, CA

  32. Cubit: Token Mixer with Kernel Ridge Regression

    May 7, 2026Chuanyang Zheng, Jiankai Sun, Yihang Gao +6Transformer AttentionTransformer Architectures

  33. Differentiable Kernel Ridge Regression for Deep Learning Pipelines

    May 4, 2026Jean-Marc Mercier, Gabriele SantinKernel Ridge RegressionKernel Method

    1MPG-Partners, Paris, France · Department of Environmental Sciences, Informatics and Statistics, Ca’ Foscari University of Venice, Italy

  34. A dimensional R2 regression metric

    May 1, 2026Jaesung Yoo, Stefan Lemke, Jian Zhong Guo +2Intrinsic DimensionalityKernel Ridge Regression

    Neuroscience Center University of North Carolina at Chapel Hill Chapel Hill, NC, 27599 · Kempner Institute for the Study of Natural and Artificial Intelligence Harvard University Boston, MA, 02134

  35. Transfer Learning for Tonal Noise Prediction in VRF Units Using Thermodynamic and Vibration Signals

    Apr 28, 2026ZhiWei Su, Ding Wang, Yuan Guo +2VibrationTransfer Learning

    Corporate Research Center, Midea Group, Foshan528311, People’s Republic of China

  36. Learning Curves and Benign Overfitting of Spectral Algorithms in Large Dimensions

    Apr 25, 2026Weihao Lu, Qian Lin, Yingcun Xia +1Kernel Ridge RegressionSpectral Representation Method

    Department of Statistics and Data Science, National University of Singapore. · Department of Statistics and Data Science, Tsinghua University.

  37. Complex Stochastic Gradient Descent and Directional Bias in Reproducing Kernel Hilbert Spaces

    Apr 24, 2026Natanael Alpay, Emeric BattagliaReproducing Kernel Hilbert SpacesStochastic Gradient Descent

  38. Pack only the essentials: Adaptive dictionary learning for kernel ridge regression

    Apr 24, 2026Daniele Calandriello, Alessandro Lazaric, Michal ValkoKernel Ridge RegressionLow-Rank Structure

    SequeL team, INRIA Lille - Nord Europe, France

  39. Analysis of Nystrom method with sequential ridge leverage scores

    Apr 22, 2026Daniele Calandriello, Alessandro Lazaric, Michal ValkoKernel Ridge Regression

    SequeL team INRIA Lille - Nord Europe

  40. Replicable Bandits with UCB based Exploration

    Apr 21, 2026Rohan Deb, Udaya Ghai, Karan Singh +1Stochastic Multi-Armed BanditsBandits

    University of Illinois Urbana-Champaign · Amazon · Carnegie Mellon University

  41. To Grok Grokking: Provable Grokking in Ridge Regression

    Jan 27, 2026Mingyue Xu, Gal Vardi, Itay SafranOverparameterizationKernel Ridge Regression

    Department of Computer Science, Purdue University, West Lafayette, IN, USA · Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Israel · Stein Faculty of Computer and Information Science, Ben-Gurion University of the Negev, Israel

  42. Learning Multi-Index Models with Hyper-Kernel Ridge Regression

    Oct 2, 2025Shuo Huang, Hippolyte Labarrière, Ernesto De Vito +2Kernel Ridge RegressionHigh-Dimensional

    Istituto Italiano di Tecnologia, Genoa, Italy · MaLGa - DIBRIS - Universit`a di Genova, Genoa, Italy · MaLGa - DIMA - Universit`a di Genova, Genoa, Italy +2

  43. A Compositional Kernel Model for Feature Learning

    Sep 17, 2025Feng Ruan, Keli Liu, Michael JordanKernel Ridge RegressionKernel Method

    *Department of Statistics and Data Science, Northwestern University. · *Company E · *Department of Statistics and Computer Science, University of California, Berkeley.

  44. Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer

    Jan 18, 2025Haotian Lin, Matthew ReimherrMinimax RateKernel Ridge Regression

    Department of Statistics, The Pennsylvania State University.

  45. On Regularization via Early Stopping for Least Squares Regression

    Jun 6, 2024Rishi Sonthalia, Jackie Lok, Elizaveta RebrovaEarly StoppingKernel Ridge Regression

    Department of Mathematics, Boston College · ORFE Department, Princeton University

  46. Efficient Cross-Validation for Sparse Linear Regression

    Jun 26, 2023Ryan Cory-Wright, Andrés GómezKernel Ridge RegressionSparsity

    Department of Analytics, Marketing and Operations, Imperial Business School, London, UK · Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, CA