Search Results - Greengard, Philip

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  1. 1
    An algorithm for the evaluation of the incomplete gamma function

    An algorithm for the evaluation of the incomplete gamma function by Greengard, Philip, Rokhlin, Vladimir

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  2. 2
    Uniform approximation of common Gaussian process kernels using equispaced Fourier grids

    Uniform approximation of common Gaussian process kernels using equispaced Fourier grids by Barnett, Alex, Greengard, Philip, Rachh, Manas

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  3. 3
    Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions

    Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions by Greengard, Philip, O’Neil, Michael

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  4. 4
    A fast regression via SVD and marginalization

    A fast regression via SVD and marginalization by Greengard, Philip, Gelman, Andrew, Vehtari, Aki

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  5. 5
    Fast Methods for Posterior Inference of Two-Group Normal-Normal Models

    Fast Methods for Posterior Inference of Two-Group Normal-Normal Models by Greengard, Philip, Hoskins, Jeremy, Margossian, Charles C., Gabry, Jonah, Gelman, Andrew, Vehtari, Aki

    Published in Bayesian analysis
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  6. 6
    Efficient Fourier representations of families of Gaussian processes

    Efficient Fourier representations of families of Gaussian processes by Greengard, Philip

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  7. 7
    Generalized prolate spheroidal functions: algorithms and analysis

    Generalized prolate spheroidal functions: algorithms and analysis by Greengard, Philip

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  8. 8
    An improved BISG for inferring race from surname and geolocation

    An improved BISG for inferring race from surname and geolocation by Greengard, Philip, Gelman, Andrew

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  9. 9
    Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions

    Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions by Greengard, Philip, O'Neil, Michael

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  10. 10
    Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes

    Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes by Mikhaeil, Jonas, Gelman, Andrew, Greengard, Philip

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  11. 11
    A Fast Linear Regression via SVD and Marginalization

    A Fast Linear Regression via SVD and Marginalization by Greengard, Philip, Gelman, Andrew, Vehtari, Aki

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  12. 12
    Uniform approximation of common Gaussian process kernels using equispaced Fourier grids

    Uniform approximation of common Gaussian process kernels using equispaced Fourier grids by Barnett, Alex, Greengard, Philip, Rachh, Manas

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  13. 13
    Equispaced Fourier representations for efficient Gaussian process regression from a billion data points

    Equispaced Fourier representations for efficient Gaussian process regression from a billion data points by Greengard, Philip, Rachh, Manas, Barnett, Alex

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  14. 14
    LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning

    LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning by Guo, Han, Greengard, Philip, Xing, Eric P, Yoon, Kim

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  15. 15
    Zernike Polynomials: Evaluation, Quadrature, and Interpolation

    Zernike Polynomials: Evaluation, Quadrature, and Interpolation by Greengard, Philip, Serkh, Kirill

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  16. 16
    The piranha problem: Large effects swimming in a small pond

    The piranha problem: Large effects swimming in a small pond by Tosh, Christopher, Greengard, Philip, Goodrich, Ben, Gelman, Andrew, Vehtari, Aki, Hsu, Daniel

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  17. 17
    On a linearization of quadratic Wasserstein distance

    On a linearization of quadratic Wasserstein distance by Greengard, Philip, Hoskins, Jeremy G, Marshall, Nicholas F, Singer, Amit

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  18. 18
    Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach

    Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach by Guo, Han, Greengard, Philip, Wang, Hongyi, Gelman, Andrew, Yoon, Kim, Xing, Eric P

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  19. 19
    LoRA Learns Less and Forgets Less

    LoRA Learns Less and Forgets Less by Biderman, Dan, Portes, Jacob, Gonzalez Ortiz, Jose Javier, Mansheej, Paul, Greengard, Philip, Jennings, Connor, King, Daniel, Havens, Sam, Chiley, Vitaliy, Frankle, Jonathan, Blakeney, Cody, Cunningham, John P

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  20. 20
    Learning to Grow Pretrained Models for Efficient Transformer Training

    Learning to Grow Pretrained Models for Efficient Transformer Training by Wang, Peihao, Panda, Rameswar, Lucas Torroba Hennigen, Greengard, Philip, Karlinsky, Leonid, Feris, Rogerio, Cox, David Daniel, Wang, Zhangyang, Yoon, Kim

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