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Huibin Shen
Huibin Shen
Bestätigte E-Mail-Adresse bei amazon.com
Titel
Zitiert von
Zitiert von
Jahr
Searching molecular structure databases with tandem mass spectra using CSI: FingerID
K Dührkop, H Shen, M Meusel, J Rousu, S Böcker
Proceedings of the National Academy of Sciences 112 (41), 12580-12585, 2015
6602015
Metabolite identification and molecular fingerprint prediction through machine learning
M Heinonen, H Shen, N Zamboni, J Rousu
Bioinformatics 28 (18), 2333-2341, 2012
1842012
Critical assessment of small molecule identification 2016: automated methods
EL Schymanski, C Ruttkies, M Krauss, C Brouard, T Kind, K Dührkop, ...
Journal of cheminformatics 9 (1), 1-21, 2017
1622017
Metabolite identification through multiple kernel learning on fragmentation trees
H Shen, K Dührkop, S Böcker, J Rousu
Bioinformatics 30 (12), i157-i164, 2014
1062014
Learning search spaces for bayesian optimization: Another view of hyperparameter transfer learning
V Perrone, H Shen, MW Seeger, C Archambeau, R Jenatton
Advances in Neural Information Processing Systems 32, 2019
812019
Fast metabolite identification with input output kernel regression
C Brouard, H Shen, K Dührkop, F d'Alché-Buc, S Böcker, J Rousu
Bioinformatics 32 (12), i28-i36, 2016
812016
Amazon SageMaker Autopilot: a white box AutoML solution at scale
P Das, N Ivkin, T Bansal, L Rouesnel, P Gautier, Z Karnin, L Dirac, ...
Proceedings of the fourth international workshop on data management for end …, 2020
532020
A quantile-based approach to hyperparameter transfer learning
D Salinas, H Shen, V Perrone
Advances in Neural Information Processing Systems Workshop on Meta-Learning, 2019
342019
Metabolite identification through machine learning—tackling CASMI challenge using FingerID
H Shen, N Zamboni, M Heinonen, J Rousu
Metabolites 3 (2), 484-505, 2013
292013
Amazon sagemaker automatic model tuning: Scalable gradient-free optimization
V Perrone, H Shen, A Zolic, I Shcherbatyi, A Ahmed, T Bansal, M Donini, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
152021
Amazon SageMaker automatic model tuning: Scalable black-box optimization
V Perrone, H Shen, A Zolic, I Shcherbatyi, A Ahmed, T Bansal, M Donini, ...
arXiv preprint arXiv:2012.08489 1, 2020
122020
Overfitting in Bayesian optimization: an empirical study and early-stopping solution
A Makarova, H Shen, V Perrone, A Klein, JB Faddoul, A Krause, ...
2nd Workshop on Neural Architecture Search (NAS 2021 collocated with the 9th …, 2021
112021
Automatic termination for hyperparameter optimization
A Makarova, H Shen, V Perrone, A Klein, JB Faddoul, A Krause, ...
International Conference on Automated Machine Learning, 7/1-21, 2022
62022
A copula approach for hyperparameter transfer learning
D Salinas, H Shen, V Perrone
52019
Soft kernel target alignment for two-stage multiple kernel learning
H Shen, S Szedmak, C Brouard, J Rousu
Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016
32016
Supplementary Material: A Quantile-based Approach for Hyperparameter Transfer Learning
D Salinas, H Shen, V Perrone
1
Cross-Frequency Time Series Meta-Forecasting
M Van Ness, H Shen, H Wang, X Jin, DC Maddix, K Gopalswamy
arXiv preprint arXiv:2302.02077, 2023
2023
Successive halving for AutoML pipeline selection
H Shen, C Archambeau, Z Karnin, A Ahmed, F Winkelmolen, A Zolic, ...
US Patent App. 16/862,489, 2020
2020
Training Jobs Early Stopping in SageMaker
A Ahmed, V Kubinec, H Shen, M Miladinovic, S Stefani, A Zolic
US Patent App. 16/439,554, 2019
2019
Machine learning for Small Molecule Identification
H Shen
Aalto University, 2017
2017
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