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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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