E-LIB Suche - Ergebnisse für: Taeb, Armeen

1

Model selection over partially ordered sets:

Taeb, Armeen ; Bühlmann, Peter ; Chandrasekaran, Venkat
Proceedings of the National Academy of Sciences. 121 (2024) 8 - p. , 2024

Link: https://doi.org/10.1073/..

2

Inverse problems and data assimilation

London Mathematical Society student texts ; 107

Sanz-Alonso, Daniel ; Stuart, Andrew ; Taeb, Armeen , 2023

Link: https://doi.org/10.1017/..

3

A Look at Robustness and Stability of 𝓁1-versus 𝓁0-..:

Chen, Yuansi ; Taeb, Armeen ; Bühlmann, Peter
Statistical Science. 35 (2020) 4 - p. 614-622 , 2020

Link: https://www.jstor.org/st..

4

False Discovery and its Control in Low Rank Estimation:

Taeb, Armeen ; Shah, Parikshit ; Chandrasekaran, Venkat
Journal of the Royal Statistical Society Series B: Statistical Methodology. 82 (2020) 4 - p. 997-1027 , 2020

Link: https://doi.org/10.1111/..

5

Interpreting latent variables in factor models via convex o..:

Taeb, Armeen ; Chandrasekaran, Venkat
Mathematical Programming. 167 (2017) 1 - p. 129-154 , 2017

Link: https://doi.org/10.1007/..

6

Visual stylometry using background selection and wavelet-HM..:

Qi, Hanchao ; Taeb, Armeen ; Hughes, Shannon M.
Signal Processing. 93 (2013) 3 - p. 541-553 , 2013

Link: https://doi.org/10.1016/..

7

Model selection over partially ordered sets:

Taeb, Armeen ; Bühlmann, Peter ; Chandrasekaran, Venkat
info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.2314228121. , 2024

Link: https://hdl.handle.net/2..

8

Model selection over partially ordered sets:

Taeb, Armeen ; Bühlmann, Peter ; Chandrasekaran, Venkat
https://doi.org/10.1073/pnas.2314228121. , 2024

Link: https://doi.org/10.1073/..

9

Model Selection over Partially Ordered Sets:

Taeb, Armeen ; Bühlmann, Peter ; Chandrasekaran, Venkat
http://arxiv.org/abs/2308.10375. , 2023

Link: http://arxiv.org/abs/230..

10

Causality-oriented robustness: exploiting general additive ..:

Shen, Xinwei ; Bühlmann, Peter ; Taeb, Armeen
http://arxiv.org/abs/2307.10299. , 2023

Link: http://arxiv.org/abs/230..

11

Provable concept learning for interpretable predictions usi..:

Taeb, Armeen ; Ruggeri, Nicolo ; Schnuck, Carina.
http://arxiv.org/abs/2204.00492. , 2022

Link: http://arxiv.org/abs/220..

12

Characterization and Greedy Learning of Gaussian Structural..:

Gamella, Juan L ; Taeb, Armeen ; Heinze-Deml, Christina.
http://arxiv.org/abs/2211.14897. , 2022

Link: http://arxiv.org/abs/221..

13

A Fast Non-parametric Approach for Local Causal Structure L..:

Azadkia, Mona ; Taeb, Armeen ; Bühlmann, Peter
http://arxiv.org/abs/2111.14969. , 2021

Link: http://arxiv.org/abs/211..

14

Learning Exponential Family Graphical Models with Latent Va..:

Taeb, Armeen ; Shah, Parikshit ; Chandrasekaran, Venkat
https://arxiv.org/abs/2010.09386. , 2021

Link: https://doi.org/10.48550..

15

Learning and scoring Gaussian latent variable causal models..:

Taeb, Armeen ; Gamella, Juan L ; Heinze-Deml, Christina.
http://arxiv.org/abs/2101.06950. , 2021

Link: http://arxiv.org/abs/210..