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Rich Caruana
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 13
Top Topics
Spam Filtering
Human Knowledge
Machine Learning
Interaction Effects
Top Venues
CoRR
KDD
AISTATS
ICLR
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Publications
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Zijie J. Wang
,
Jennifer Wortman Vaughan
,
Rich Caruana
,
Duen Horng Chau
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse.
CoRR
(2023)
Zijie J. Wang
,
Alex Kale
,
Harsha Nori
,
Peter Stella
,
Mark E. Nunnally
,
Duen Horng Chau
,
Mihaela Vorvoreanu
,
Jennifer Wortman Vaughan
,
Rich Caruana
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values.
CoRR
(2022)
Chun-Hao Chang
,
Rich Caruana
,
Anna Goldenberg
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning.
ICLR
(2022)
Benjamin J. Lengerich
,
Mark E. Nunnally
,
Yin Aphinyanaphongs
,
Rich Caruana
Estimating Discontinuous Time-Varying Risk Factors and Treatment Benefits for COVID-19 with Interpretable ML.
CoRR
(2022)
Benjamin J. Lengerich
,
Eric P. Xing
,
Rich Caruana
Dropout as a Regularizer of Interaction Effects.
AISTATS
(2022)
Zijie J. Wang
,
Alex Kale
,
Harsha Nori
,
Peter Stella
,
Mark E. Nunnally
,
Duen Horng Chau
,
Mihaela Vorvoreanu
,
Jennifer Wortman Vaughan
,
Rich Caruana
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values.
KDD
(2022)
Fengshi Niu
,
Harsha Nori
,
Brian Quistorff
,
Rich Caruana
,
Donald Ngwe
,
Aadharsh Kannan
Differentially Private Estimation of Heterogeneous Causal Effects.
CLeaR
(2022)
Benjamin J. Lengerich
,
Mark E. Nunnally
,
Yin Aphinyanaphongs
,
Caleb Ellington
,
Rich Caruana
Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case study.
J. Biomed. Informatics
130 (2022)
Rich Caruana
,
Harsha Nori
Why Data Scientists Prefer Glassbox Machine Learning: Algorithms, Differential Privacy, Editing and Bias Mitigation.
KDD
(2022)
Tomas M. Bosschieter
,
Zifei Xu
,
Hui Lan
,
Benjamin J. Lengerich
,
Harsha Nori
,
Kristin Sitcov
,
Vivienne Souter
,
Rich Caruana
Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes.
CoRR
(2022)
Rich Caruana
,
Benjamin J. Lengerich
,
Yindalon Aphinyanaphongs
Data-Driven Patterns in Protective Effects of Ibuprofen and Ketorolac on Hospitalized Covid-19 Patients.
AMIA
(2021)
Rishabh Agarwal
,
Levi Melnick
,
Nicholas Frosst
,
Xuezhou Zhang
,
Benjamin J. Lengerich
,
Rich Caruana
,
Geoffrey E. Hinton
Neural Additive Models: Interpretable Machine Learning with Neural Nets.
NeurIPS
(2021)
Zhi Chen
,
Sarah Tan
,
Harsha Nori
,
Kori Inkpen
,
Yin Lou
,
Rich Caruana
Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data.
PKDD/ECML Workshops (1)
(2021)