| Explaining image classifiers by counterfactual generation CH Chang, E Creager, A Goldenberg, D Duvenaud arXiv preprint arXiv:1807.08024, 2018 | 285 | 2018 |
| 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 & data …, 2021 | 66 | 2021 |
| Dropout feature ranking for deep learning models CH Chang, L Rampasek, A Goldenberg arXiv preprint arXiv:1712.08645, 2017 | 64 | 2017 |
| Node-gam: Neural generalized additive model for interpretable deep learning CH Chang, R Caruana, A Goldenberg arXiv preprint arXiv:2106.01613, 2021 | 53 | 2021 |
| 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 | 34 | 2020 |
| 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 | 32 | 2020 |
| 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 Pattern …, 2021 | 28 | 2021 |
| 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, SÖ Arik, M Udell, T Pfister Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 11 | 2023 |
| 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 | 10 | 2022 |
| 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 |
