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Rich Caruana

University of Maryland, Baltimore (per OpenAlex) · ORCID · OpenAlex

16 papers in scope · 15 published · 1 on the econ.EM arXiv · 6,892 citations · h-index 10 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Tatiana Komarova
  2. Denis Nekipelov
  3. Anish Agarwal
  4. William Matcham
  5. Rahul Singh
  6. Susan Athey
  7. Guido W. Imbens
  8. Debopam Bhattacharya
  9. Aadharsh Kannan
  10. Donald Ngwe
  11. Harsha Nori
  12. Brian Quistorff
  13. Victor Chernozhukov
  14. Arkadiusz Szydłowski
  15. Vasilis Syrgkanis
  16. Feng Kai
  17. Jingyuan Wang
  18. Ke Tang
  19. Keegan Harris
  20. Whitney K. Newey

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 16)

Augmenting interpretable models with large language models during training
published2023 · Nature Communications · 55 citations
with Chandan Singh, Armin Askari, Jianfeng Gao
Nature Communications
Considerations when learning additive explanations for black-box models
published2023 · Machine Learning · 29 citations
with Sarah Tan, Giles Hooker, Paul Koch, Albert Gordo
Machine Learning
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
published2022 · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 22 citations
with Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Why Data Scientists Prefer Glassbox Machine Learning
published2022 · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 3 citations
with Harsha Nori
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Differentially Private Estimation of Heterogeneous Causal Effects
working paper2022 · arXiv · 5 citations
with Fengshi Niu, Harsha Nori, Brian Quistorff, Donald Ngwe, Aadharsh Kannan
Paper profile arXiv arXiv:2202.11043
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models
published2020 · International Conference on Artificial Intelligence and Statistics · 8 citations · first circulated 2019
with Benjamin J. Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker
International Conference on Artificial Intelligence and Statistics
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration
published2017 · Proceedings of the AAAI Conference on Artificial Intelligence · 138 citations · first circulated 2016
with Himabindu Lakkaraju, Ece Kamar, Eric Horvitz
Proceedings of the AAAI Conference on Artificial Intelligence
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix
published2016 · International Conference on Machine Learning · 18 citations
with Shengjie Wang, Abdelrahman Mohamed, Jeff Bilmes, Matthai Plilipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, Özlem Aslan
no link
Sparse Partially Linear Additive Models
published2015 · Journal of Computational and Graphical Statistics · 54 citations · first circulated 2014
with Yin Lou, Jacob Bien, Johannes Gehrke
Journal of Computational and Graphical Statistics
Active Learning with Model Selection
published2014 · Proceedings of the AAAI Conference on Artificial Intelligence · 25 citations
with Alnur Ali, Ashish Kapoor
Proceedings of the AAAI Conference on Artificial Intelligence
Introduction to the Special Issue ACM SIGKDD 2012
published2013 · ACM Transactions on Knowledge Discovery from Data
with Deepak Agarwal, Jian Pei, Ke Wang
ACM Transactions on Knowledge Discovery from Data
Special issue on best of SIGKDD 2011
published2012 · ACM Transactions on Knowledge Discovery from Data
with Joydeep Ghosh, Padhraic Smyth, Andrew Tomkins
ACM Transactions on Knowledge Discovery from Data
C2FS: An Algorithm for Feature Selection in Cascade Neural Networks
published2006 · The 2006 IEEE International Joint Conference on Neural Network Proceedings · 5 citations
with Lars Bäckström
The 2006 IEEE International Joint Conference on Neural Network Proceedings
A Non-Parametric EM-Style Algorithm for Imputing Missing Values.
published2001 · International Conference on Artificial Intelligence and Statistics · 36 citations
no link
Multitask Learning
published1997 · Machine Learning · 6373 citations
Machine Learning
Using the Future to "Sort Out" the Present: Rankprop and Multitask Learning for Medical Risk Evaluation
published1995 · Neural Information Processing Systems · 121 citations
with Shumeet Baluja, Tom M. Mitchell
no link

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.