Faithful and Customizable Explanations of Black Box Models

von Lakkaraju, Himabindu
Veröffentlicht in AAAI/ACM Conference on AI, Ethics, and Society (2. : 2019 : Honolulu, Hawaii) AIES'19 (2019)

ACCURACY, INTERPRETABILITY, AND DIFFERENTIAL PRIVACY VIA EXPLAINABLE BOOSTING

von NORI, HARSHA
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 11 of 16 (2022)

Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data

von Chen, Zhi
Veröffentlicht in ECML PKDD (2021 : Online) Machine learning and principles and practice of knowledge discovery in databases ; Part 1 (2021)

EFFICIENT FORWARD ARCHITECTURE SEARCH

von Hu, Hanzhang
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 13 of 20 (2020)

Neural Additive Models: Interpretable Machine Learning with Neural Nets

von Agarwal, Rishabh
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 6 of 36 (2022)

Embedded Machine Learning : papers from the AAAI 2015 Fall Symposium

Veröffentlicht 2015