I agree that this site is using cookies. You can find further informations here.
X
Greengard, Philip
36  results:
Search for persons X
?
1

Uniform approximation of common Gaussian process kernels us..:

Barnett, Alex ; Greengard, Philip ; Rachh, Manas
Applied and Computational Harmonic Analysis.  71 (2024)  - p. 101640 , 2024
Link: https://doi.org/10.1016/..
 
?
2

Efficient reduced-rank methods for Gaussian processes with ..:

Greengard, Philip ; O'Neil, Michael
Statistics and Computing.  32 (2022)  5 - p. , 2022
Link: https://doi.org/10.1007/..
 
?
3

A fast regression via SVD and marginalization:

Greengard, Philip ; Gelman, Andrew ; Vehtari, Aki
Computational Statistics.  37 (2021)  2 - p. 701-720 , 2021
Link: https://doi.org/10.1007/..
 
?
4

An algorithm for the evaluation of the incomplete gamma fun..:

Greengard, Philip ; Rokhlin, Vladimir
Advances in Computational Mathematics.  45 (2018)  1 - p. 23-49 , 2018
Link: https://doi.org/10.1007/..
 
?
5

Federated Learning as Variational Inference: A Scalable Exp..:

Guo, Han ; Greengard, Philip ; Wang, Hongyi...
http://arxiv.org/abs/2302.04228.  , 2023
Link: http://arxiv.org/abs/230..
 
?
6

BISG: When inferring race or ethnicity, does it matter that..:

Greengard, Philip ; Gelman, Andrew
http://arxiv.org/abs/2304.09126.  , 2023
Link: http://arxiv.org/abs/230..
 
?
7

Fast Methods for Posterior Inference of Two-Group Normal-No..:

Greengard, Philip ; Hoskins, Jeremy ; Margossian, Charles C...
Bayesian Analysis.  , 2023
Link: https://aaltodoc.aalto.f..
 
?
8

Uniform approximation of common Gaussian process kernels us..:

Barnett, Alex ; Greengard, Philip ; Rachh, Manas
http://arxiv.org/abs/2305.11065.  , 2023
Link: http://arxiv.org/abs/230..
 
?
9

Learning to Grow Pretrained Models for Efficient Transforme..:

Wang, Peihao ; Panda, Rameswar ; Hennigen, Lucas Torroba...
http://arxiv.org/abs/2303.00980.  , 2023
Link: http://arxiv.org/abs/230..
 
?
10

LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for E..:

Guo, Han ; Greengard, Philip ; Xing, Eric P.
http://arxiv.org/abs/2311.12023.  , 2023
Link: http://arxiv.org/abs/231..
 
?
11

Equispaced Fourier representations for efficient Gaussian p..:

Greengard, Philip ; Rachh, Manas ; Barnett, Alex
http://arxiv.org/abs/2210.10210.  , 2022
Link: http://arxiv.org/abs/221..
 
?
12

On a linearization of quadratic Wasserstein distance:

Greengard, Philip ; Hoskins, Jeremy G ; Marshall, Nicholas F.
http://arxiv.org/abs/2201.13386.  , 2022
Link: http://arxiv.org/abs/220..
 
?
13

Fast methods for posterior inference of two-group normal-no..:

Greengard, Philip ; Hoskins, Jeremy ; Margossian, Charles C..
http://arxiv.org/abs/2110.03055.  , 2021
Link: http://arxiv.org/abs/211..
 
?
14

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

Tosh, Christopher ; Greengard, Philip ; Goodrich, Ben...
http://arxiv.org/abs/2105.13445.  , 2021
Link: http://arxiv.org/abs/210..
 
?
15

Efficient Fourier representations of families of Gaussian p..:

Greengard, Philip
http://arxiv.org/abs/2109.14081.  , 2021
Link: http://arxiv.org/abs/210..
 
1-15