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  1. Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds

    Published in JMLR (2026)
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  2. Random ReLU Neural Networks as Non-Gaussian Processes

    Published in JMLR (2026)
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  3. Statistical Inference of Random Graphs With a Surrogate Likelihood Function

    Published in JMLR (2026)
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  4. Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime

    Published in JMLR (2026)
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  5. Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds

    Published in JMLR (2026)
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  6. Random ReLU Neural Networks as Non-Gaussian Processes

    Published in JMLR (2026)
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  7. Statistical Inference of Random Graphs With a Surrogate Likelihood Function

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  8. Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime

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  9. Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds

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  10. Random ReLU Neural Networks as Non-Gaussian Processes

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  11. Quantizing With Randomized Hadamard Transforms: Efficient Heuristic Now Proven

    Published in ArXiv cs.DS Recent Papers (2026)
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  12. Life is Random, Time is Not: Markov Decision Processes with Window Objectives

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  13. Logical properties of random graphs from small addable classes

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  14. Algorithmic randomness for Doob's martingale convergence theorem in continuous time

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  15. Fourier spectra of measures associated with algorithmically random Brownian motion

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  16. Comparative performance of the limited information techniques in a two equation structural model

    Published 2007
    Subjects: “…Random deviates…”
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  17. Randomized trial of an intervention to improve blood pressure control in stroke survivors

    Published 2020
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  18. Quantitative characterisation of an engineering write-up using random walk analysis

    Published 2008
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  19. Tax Compliance among Managers: Evidence from Randomized Audits1

    Published in Nordic Tax Journal (2025)
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  20. Impact of random variations in the sampling period on the stability of embedded control systems

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