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Chun-Hao Chang
Chun-Hao Chang
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Title
Cited by
Cited by
Year
Explaining image classifiers by counterfactual generation
CH Chang, E Creager, A Goldenberg, D Duvenaud
arXiv preprint arXiv:1807.08024, 2018
2832018
How interpretable and trustworthy are gams?
CH Chang, S Tan, B Lengerich, A Goldenberg, R Caruana
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & dataá…, 2021
642021
Dropout feature ranking for deep learning models
CH Chang, L Rampasek, A Goldenberg
arXiv preprint arXiv:1712.08645, 2017
632017
Node-gam: Neural generalized additive model for interpretable deep learning
CH Chang, R Caruana, A Goldenberg
arXiv preprint arXiv:2106.01613, 2021
512021
Purifying interaction effects with the functional anova: An efficient algorithm for recovering identifiable additive models
B Lengerich, S Tan, CH Chang, G Hooker, R Caruana
International Conference on Artificial Intelligence and Statistics, 2402-2412, 2020
332020
Hidden risks of machine learning applied to healthcare: unintended feedback loops between models and future data causing model degradation
GA Adam, CHK Chang, B Haibe-Kains, A Goldenberg
Machine Learning for Healthcare Conference, 710-731, 2020
312020
Towards robust classification model by counterfactual and invariant data generation
CH Chang, GA Adam, A Goldenberg
Proceedings of the IEEE/CVF Conference on Computer Vision and Patterná…, 2021
272021
Dynamic measurement scheduling for event forecasting using deep RL
CH Chang, M Mai, A Goldenberg
International Conference on Machine Learning, 951-960, 2019
22*2019
Data-efficient and interpretable tabular anomaly detection
CH Chang, J Yoon, SÍ Arik, M Udell, T Pfister
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery andá…, 2023
112023
Error amplification when updating deployed machine learning models
GA Adam, CHK Chang, B Haibe-Kains, A Goldenberg
Machine Learning for Healthcare Conference, 715-740, 2022
92022
dropout feature ranking for deep learning models. arXiv 2017
CH Chang, L Rampasek, A Goldenberg
arXiv preprint arXiv:1712.08645, 0
5
Interpretable Anomaly Detection By Generalized Additive Models With Neural Decision Trees
J Yoon, SO Arik, MR Udell, CH Chang
US Patent App. 18/113,267, 2023
2023
Extracting Expert's Goals by What-if Interpretable Modeling
CH Chang, GA Adam, R Caruana, A Goldenberg
arXiv preprint arXiv:2110.15165, 2021
2021
Extracting Clinician's Goals by What-if Interpretable Modeling.
CH Chang, GA Adam, R Caruana, A Goldenberg
CoRR, 2021
2021
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