E-LIB Suche - Ergebnisse für: Berk, Aaron

1

LASSO Reloaded: A Variational Analysis Perspective with App..:

Berk, Aaron ; Brugiapaglia, Simone ; Hoheisel, Tim
SIAM Journal on Mathematics of Data Science. 5 (2023) 4 - p. 1102-1129 , 2023

Link: https://doi.org/10.1137/..

2

Deep Proximal Gradient Method for Learned Convex Regularize..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Berk, Aaron ; Ma, Yanting ; Boufounos, Petros.. - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

3

Learning from small data: Classifying sex from retinal imag..:

Berk, Aaron ; Ozturan, Gulcenur ; Delavari, Parsa...
PLOS ONE. 18 (2023) 8 - p. e0289211 , 2023

Link: https://doi.org/10.1371/..

4

On the Best Choice of Lasso Program Given Data Parameters:

Berk, Aaron ; Plan, Yaniv ; Yilmaz, Ozgur
IEEE Transactions on Information Theory. 68 (2022) 4 - p. 2573-2603 , 2022

Link: https://doi.org/10.1109/..

5

A Coherence Parameter Characterizing Generative Compressed ..:

Berk, Aaron ; Brugiapaglia, Simone ; Joshi, Babhru...
IEEE Journal on Selected Areas in Information Theory. 3 (2022) 3 - p. 502-512 , 2022

Link: https://doi.org/10.1109/..

6

Sensitivity of ℓ1 minimization to parameter choice:

Berk, Aaron ; Plan, Yaniv ; Yilmaz, Özgür
Information and Inference: A Journal of the IMA. 10 (2020) 2 - p. 397-453 , 2020

Link: https://doi.org/10.1093/..

7

Learning from few examples: Classifying sex from retinal im..:

Berk, Aaron ; Ozturan, Gulcenur ; Maberley, David..
Journal of Vision. 20 (2020) 11 - p. 255 , 2020

Link: https://doi.org/10.1167/..

8

Parameter Instability Regimes in Sparse Proximal Denoising ..:

, In: 2019 13th International conference on Sampling Theory and Applications (SampTA),

Berk, Aaron ; Plan, Yaniv ; Yilmaz, Ozgur - p. 1-5 , 2019

Link: https://doi.org/10.1109/..

9

Enrichment map profiling of the cancer invasion front sugge..:

Karagiannis, George S. ; Berk, Aaron ; Dimitromanolakis, Apostolos.
Molecular Oncology. 7 (2013) 4 - p. 826-839 , 2013

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

10

Model-adapted Fourier sampling for generative compressed se..:

Berk, Aaron ; Brugiapaglia, Simone ; Plan, Yaniv...
http://arxiv.org/abs/2310.04984. , 2023

Link: http://arxiv.org/abs/231..

11

Square Root LASSO: Well-posedness, Lipschitz stability and ..:

Berk, Aaron ; Brugiapaglia, Simone ; Hoheisel, Tim
http://arxiv.org/abs/2303.15588. , 2023

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

12

Learning from few examples: Classifying sex from retinal im..:

Berk, Aaron ; Ozturan, Gulcenur ; Delavari, Parsa...
http://arxiv.org/abs/2207.09624. , 2022

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

13

LASSO reloaded: a variational analysis perspective with app..:

Berk, Aaron ; Brugiapaglia, Simone ; Hoheisel, Tim
http://arxiv.org/abs/2205.06872. , 2022

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

14

A coherence parameter characterizing generative compressed ..:

Berk, Aaron ; Brugiapaglia, Simone ; Joshi, Babhru...
http://arxiv.org/abs/2207.09340. , 2022

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

15

On the best choice of Lasso program given data parameters:

Berk, Aaron ; Plan, Yaniv ; Yilmaz, Özgür
http://arxiv.org/abs/2010.08884. , 2020

Link: http://arxiv.org/abs/201..