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Philip Greengard
Philip Greengard
Flatiron Institute
Verified email at flatironinstitute.org
Title
Cited by
Cited by
Year
Lora learns less and forgets less
D Biderman, J Portes, JJG Ortiz, M Paul, P Greengard, C Jennings, ...
arXiv preprint arXiv:2405.09673, 2024
3312024
LQ-LoRa: Low-rank plus quantized matrix decomposition for efficient language model finetuning
H Guo, P Greengard, EP Xing, Y Kim
ICLR 2024, 2023
922023
Learning to grow pretrained models for efficient transformer training
P Wang, R Panda, LT Hennigen, P Greengard, L Karlinsky, R Feris, ...
ICLR 2023, 2023
922023
The piranha problem: Large effects swimming in a small pond
C Tosh, P Greengard, B Goodrich, A Gelman, A Vehtari, D Hsu
Notices of the American Mathematical Society 72 (1), 15-25, 2025
30*2025
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
H Guo, P Greengard, H Wang, A Gelman, Y Kim, EP Xing
ICLR 2023, 2023
292023
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions
P Greengard, M O’Neil
Statistics and Computing 32 (5), 94, 2022
172022
An algorithm for the evaluation of the incomplete gamma function
P Greengard, V Rokhlin
Advances in Computational Mathematics 45 (1), 23-49, 2019
152019
Generalized prolate spheroidal functions: algorithms and analysis
P Greengard
Pure and Applied Analysis 6 (3), 789–833, 2024
14*2024
Equispaced Fourier representations for efficient Gaussian process regression from a billion data points
P Greengard, M Rachh, AH Barnett
SIAM/ASA Journal on Uncertainty Quantification 13 (1), 63-89, 2025
112025
Zernike polynomials: Evaluation, quadrature, and interpolation
P Greengard, K Serkh
arXiv preprint arXiv:1811.02720, 2018
102018
A calibrated BISG for inferring race from surname and geolocation
P Greengard, A Gelman
Journal of the Royal Statistical Society Series A: Statistics in Society 189 …, 2026
8*2026
Uniform approximation of common Gaussian process kernels using equispaced Fourier grids
A Barnett, P Greengard, M Rachh
Applied and Computational Harmonic Analysis 71, 101640, 2024
82024
On a linearization of quadratic Wasserstein distance
P Greengard, JG Hoskins, NF Marshall, A Singer
arXiv preprint arXiv:2201.13386, 2022
82022
Factor clustering with t-SNE
P Greengard, Y Liu, S Steinerberger, A Tsyvinski
Available at SSRN 3696027, 2020
82020
Lora learns less and forgets less. arXiv 2024
D Biderman, J Portes, JJG Ortiz, M Paul, P Greengard, C Jennings, ...
arXiv preprint arXiv:2405.09673, 0
7
An ensemblized Metropolized Langevin sampler
P Greengard
Master's thesis, Courant Institute, New York University, 2015
62015
Efficient Fourier representations of families of Gaussian processes
P Greengard
SIAM Journal on Scientific Computing 47 (2), A971-A990, 2025
4*2025
A fast regression via SVD and marginalization
P Greengard, A Gelman, A Vehtari
Computational Statistics 37 (2), 701-720, 2022
42022
Fast methods for posterior inference of two-group normal-normal models
P Greengard, J Hoskins, CC Margossian, J Gabry, A Gelman, A Vehtari
Bayesian analysis 18 (3), 889, 2022
32022
Hierarchical Bayesian models to mitigate systematic disparities in prediction with proxy outcomes
JM Mikhaeil, A Gelman, P Greengard
Journal of the Royal Statistical Society Series A: Statistics in Society 189 …, 2026
22026
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Articles 1–20