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Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning.

H. Kaur, H. Nori, S. Jenkins, R. Caruana, H. Wallach, and J. Vaughan. CHI, page 1-14. ACM, (2020)

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Hasima Nori

Nori Möding

Nori Görmer

Wafa Nori

Harsha Mahabaleshwar

Other publications of authors with the same name

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.H. Nori, Y. Lee, S. Zhang, D. Carignan, R. Edgar, N. Fusi, N. King, J. Larson, Y. Li, W. Liu and 8 other author(s). CoRR, (2023)Data Science with LLMs and Interpretable Models.S. Bordt, B. Lengerich, H. Nori, and R. Caruana. CoRR, (2024)Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data.Z. Chen, S. Tan, H. Nori, K. Inkpen, Y. Lou, and R. Caruana. PKDD/ECML Workshops (1), volume 1524 of Communications in Computer and Information Science, page 534-551. Springer, (2021)Comparing Population Means Under Local Differential Privacy: With Significance and Power.B. Ding, H. Nori, P. Li, and J. Allen. AAAI, page 26-33. AAAI Press, (2018)InterpretML: A Unified Framework for Machine Learning Interpretability.H. Nori, S. Jenkins, P. Koch, and R. Caruana. CoRR, (2019)Capabilities of GPT-4 on Medical Challenge Problems.H. Nori, N. King, S. McKinney, D. Carignan, and E. Horvitz. CoRR, (2023)Differentially Private Synthetic Data via Foundation Model APIs 2: Text.C. Xie, Z. Lin, A. Backurs, S. Gopi, D. Yu, H. Inan, H. Nori, H. Jiang, H. Zhang, Y. Lee and 2 other author(s). CoRR, (2024)Primo: Practical Learning-Augmented Systems with Interpretable Models.Q. Hu, H. Nori, P. Sun, Y. Wen, and T. Zhang. USENIX Annual Technical Conference, page 519-538. USENIX Association, (2022)Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes.T. Bosschieter, Z. Xu, H. Lan, B. Lengerich, H. Nori, K. Sitcov, V. Souter, and R. Caruana. CoRR, (2022)Accuracy, Interpretability, and Differential Privacy via Explainable Boosting.H. Nori, R. Caruana, Z. Bu, J. Shen, and J. Kulkarni. ICML, volume 139 of Proceedings of Machine Learning Research, page 8227-8237. PMLR, (2021)

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Disambiguation of "Nori, Harsha"

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Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning.

Please choose a person to relate this publication to

Hasima Nori

Nori Möding

Nori Görmer

Wafa Nori

Harsha Mahabaleshwar

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Nori, Harsha"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning.

Please choose a person to relate this publication to

Hasima Nori

Nori Möding

Nori Görmer

Wafa Nori

Harsha Mahabaleshwar

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning.