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Anna Goldenberg
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Publications
- 2022
- [c20]Chun-Hao Chang, Rich Caruana, Anna Goldenberg:
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning. ICLR 2022 - [c19]George-Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, Anna Goldenberg:
Error Amplification When Updating Deployed Machine Learning Models. MLHC 2022: 715-740 - 2021
- [c17]Chun-Hao Chang, George-Alexandru Adam, Anna Goldenberg:
Towards Robust Classification Model by Counterfactual and Invariant Data Generation. CVPR 2021: 15212-15221 - [c14]Chun-Hao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana:
How Interpretable and Trustworthy are GAMs? KDD 2021: 95-105 - [i25]Chun-Hao Chang, George-Alexandru Adam, Anna Goldenberg:
Towards Robust Classification Model by Counterfactual and Invariant Data Generation. CoRR abs/2106.01127 (2021) - [i24]Chun-Hao Chang, Rich Caruana, Anna Goldenberg:
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning. CoRR abs/2106.01613 (2021) - [i23]Chun-Hao Chang, George-Alexandru Adam, Rich Caruana, Anna Goldenberg:
Extracting Clinician's Goals by What-if Interpretable Modeling. CoRR abs/2110.15165 (2021) - 2020
- [c12]George-Alexandru Adam, Chun-Hao Kingsley Chang, Benjamin Haibe-Kains, Anna Goldenberg:
Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation. MLHC 2020: 710-731 - [i20]Chun-Hao Chang, Sarah Tan, Benjamin J. Lengerich, Anna Goldenberg, Rich Caruana:
How Interpretable and Trustworthy are GAMs? CoRR abs/2006.06466 (2020) - 2019
- [c9]Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud:
Explaining Image Classifiers by Counterfactual Generation. ICLR (Poster) 2019 - [c8]Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Event Forecasting using Deep RL. ICML 2019: 951-960 - [i16]Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Event Forecasting using Deep RL. CoRR abs/1901.09699 (2019) - 2018
- [i10]Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud:
Explaining Image Classifiers by Adaptive Dropout and Generative In-filling. CoRR abs/1807.08024 (2018) - [i7]Chun-Hao Chang, Mingjie Mai, Anna Goldenberg:
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL. CoRR abs/1812.00268 (2018) - 2017
- [i6]Chun-Hao Chang, Ladislav Rampásek, Anna Goldenberg:
Dropout Feature Ranking for Deep Learning Models. CoRR abs/1712.08645 (2017)
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