Noah Simon

Orcid: 0000-0002-8985-2474

According to our database1, Noah Simon authored at least 21 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Fitted Sparse-Group Lasso for Genome-Based Evaluations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure.
J. Mach. Learn. Res., 2023

2022
Ensembled sparse-input hierarchical networks for high-dimensional datasets.
Stat. Anal. Data Min., 2022

Generalized Sparse Additive Models.
J. Mach. Learn. Res., 2022

Investigation of Training Multiple Instance Learning Networks with Instance Sampling.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Attention-Based Deep Multiple Instance Learning with Adaptive Instance Sampling.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Multidimensional analysis and detection of informative features in human brain white matter.
PLoS Comput. Biol., 2021

Groupyr: Sparse Group Lasso in Python.
J. Open Source Softw., 2021

The Future will be Different than Today: Model Evaluation Considerations when Developing Translational Clinical Biomarker.
CoRR, 2021

Survival Prediction Using Deep Learning.
Proceedings of AAAI Symposium on Survival Prediction, 2021

2020
Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent.
BMC Bioinform., 2020

A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features.
PLoS Comput. Biol., 2019

Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep.
CoRR, 2019

Selective prediction-set models with coverage guarantees.
CoRR, 2019

An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression.
CoRR, 2019

2018
Wavelet regression and additive models for irregularly spaced data.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Nonparametric variable importance using an augmented neural network with multi-task learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2016
Convex Regression with Interpretable Sharp Partitions.
J. Mach. Learn. Res., 2016

2014
Exploring medical diagnostic performance using interactive, multi-parameter sourced receiver operating characteristic scatter plots.
Comput. Biol. Medicine, 2014

2011
Quotient Sets and Diophantine Equations.
Am. Math. Mon., 2011


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