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Noah Simon
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2020 – today
- 2023
- [j11]Yunhua Xiang, Tianyu Zhang, Xu Wang, Ali Shojaie, Noah Simon:
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure. J. Mach. Learn. Res. 24: 228:1-228:38 (2023) - [j10]Jan Klosa, Noah Simon, Volkmar Liebscher
, Dörte Wittenburg
:
A Fitted Sparse-Group Lasso for Genome-Based Evaluations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 30-38 (2023) - 2022
- [j9]Asad Haris, Noah Simon, Ali Shojaie:
Generalized Sparse Additive Models. J. Mach. Learn. Res. 23: 70:1-70:56 (2022) - [j8]Jean Feng
, Noah Simon:
Ensembled sparse-input hierarchical networks for high-dimensional datasets. Stat. Anal. Data Min. 15(6): 736-750 (2022) - [c6]Aliasghar Tarkhan, Trung Kien Nguyen, Noah Simon, Thomas Bengtsson, Paolo Ocampo, Jian Dai:
Attention-Based Deep Multiple Instance Learning with Adaptive Instance Sampling. ISBI 2022: 1-5 - [c5]Aliasghar Tarkhan, Trung Kien Nguyen, Noah Simon, Jian Dai:
Investigation of Training Multiple Instance Learning Networks with Instance Sampling. REMIA@MICCAI 2022: 95-104 - 2021
- [j7]Adam C. Richie-Halford
, Manjari Narayan
, Noah Simon
, Jason D. Yeatman
, Ariel Rokem
:
Groupyr: Sparse Group Lasso in Python. J. Open Source Softw. 6(58): 3024 (2021) - [j6]Adam C. Richie-Halford
, Jason D. Yeatman
, Noah Simon, Ariel Rokem
:
Multidimensional analysis and detection of informative features in human brain white matter. PLoS Comput. Biol. 17(6) (2021) - [c4]Aliasghar Tarkhan, Noah Simon, Thomas Bengtsson, Trung Kien Nguyen, Jian Dai:
Survival Prediction Using Deep Learning. SPACA 2021: 207-214 - [i6]Yichen Lu, Jane Fridlyand, Tiffany Tang, Ting Qi, Noah Simon, Ning Leng:
The Future will be Different than Today: Model Evaluation Considerations when Developing Translational Clinical Biomarker. CoRR abs/2107.08787 (2021) - 2020
- [j5]Jan Klosa, Noah Simon, Pål O. Westermark, Volkmar Liebscher
, Dörte Wittenburg
:
Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent. BMC Bioinform. 21(1): 407 (2020) - [c3]Yunhua Xiang, Noah Simon:
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning. ICML 2020: 10442-10451 - [i5]Jean Feng, Noah Simon:
Ensembled sparse-input hierarchical networks for high-dimensional datasets. CoRR abs/2005.04834 (2020)
2010 – 2019
- 2019
- [j4]Craig A. Magaret, David C. Benkeser
, Brian D. Williamson
, Bhavesh Borate, Lindsay N. Carpp
, Ivelin S. Georgiev, Ian Setliff
, Adam S. Dingens, Noah Simon, Marco Carone, Christopher Simpkins
, David C. Montefiori
, Galit Alter, Wen-Han Yu
, Michal Juraska, Paul Thatcher Edlefsen, Shelly Karuna, Nyaradzo M. Mgodi, Srilatha Edugupanti, Peter B. Gilbert
:
Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features. PLoS Comput. Biol. 15(4) (2019) - [i4]Asad Haris, Noah Simon, Ali Shojaie:
Wavelet regression and additive models for irregularly spaced data. CoRR abs/1903.04631 (2019) - [i3]Jean Feng, Noah Simon:
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression. CoRR abs/1903.12297 (2019) - [i2]Jean Feng, Arjun Sondhi, Jessica Perry, Noah Simon:
Selective prediction-set models with coverage guarantees. CoRR abs/1906.05473 (2019) - [i1]Jean Feng, Scott Emerson, Noah Simon:
Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep. CoRR abs/1912.12413 (2019) - 2018
- [c2]Jean Feng, Brian D. Williamson, Marco Carone, Noah Simon:
Nonparametric variable importance using an augmented neural network with multi-task learning. ICML 2018: 1495-1504 - [c1]Asad Haris, Ali Shojaie, Noah Simon:
Wavelet regression and additive models for irregularly spaced data. NeurIPS 2018: 8987-8997 - 2016
- [j3]Ashley Petersen, Noah Simon, Daniela M. Witten:
Convex Regression with Interpretable Sharp Partitions. J. Mach. Learn. Res. 17: 94:1-94:31 (2016) - 2014
- [j2]Hyatt E. Moore IV
, Olivier Andlauer
, Noah Simon, Emmanuel Mignot:
Exploring medical diagnostic performance using interactive, multi-parameter sourced receiver operating characteristic scatter plots. Comput. Biol. Medicine 47: 120-129 (2014) - 2011
- [j1]Stephan Ramon Garcia
, Vincent Selhorst-Jones, Daniel E. Poore, Noah Simon:
Quotient Sets and Diophantine Equations. Am. Math. Mon. 118(8): 704-711 (2011)
Coauthor Index
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