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Differentially Private Estimation of Heterogeneous Causal Effects.

F. Niu, H. Nori, B. Quistorff, R. Caruana, D. Ngwe, and A. Kannan. CLeaR, volume 177 of Proceedings of Machine Learning Research, page 618-633. PMLR, (2022)

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Hasima Nori

Nori Möding

Nori Görmer

Wafa Nori

Harsha Mahabaleshwar

Other publications of authors with the same name

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)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)An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors.J. Allen, B. Ding, J. Kulkarni, H. Nori, O. Ohrimenko, and S. Yekhanin. NeurIPS, page 13635-13646. (2019)Sparks of Artificial General Intelligence: Early experiments with GPT-4S. Bubeck, V. Chandrasekaran, R. Eldan, J. Gehrke, E. Horvitz, E. Kamar, P. Lee, Y. Lee, Y. Li, S. Lundberg and 4 other author(s). PDF, (March 2023)cite arxiv:2303.12712.Differentially Private Synthetic Data via Foundation Model APIs 1: Images.Z. Lin, S. Gopi, J. Kulkarni, H. Nori, and S. Yekhanin. CoRR, (2023)Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values.Z. Wang, A. Kale, H. Nori, P. Stella, M. Nunnally, D. Chau, M. Vorvoreanu, J. Vaughan, and R. Caruana. KDD, page 4132-4142. ACM, (2022)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. DaSH@KDD, (2021)Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges.R. Caruana, S. Lundberg, M. Ribeiro, H. Nori, and S. Jenkins. KDD, page 3511-3512. ACM, (2020)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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Differentially Private Estimation of Heterogeneous Causal Effects.

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 Differentially Private Estimation of Heterogeneous Causal Effects.

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
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Differentially Private Estimation of Heterogeneous Causal Effects.