Sarah Tan
TitleCited byYear
“No fracking way!” Documentary film, discursive opportunity, and local opposition against hydraulic fracturing in the United States, 2010 to 2013
IB Vasi, ET Walker, JS Johnson, HF Tan
American Sociological Review 80 (5), 934-959, 2015
1392015
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation
S Tan, R Caruana, G Hooker, Y Lou
AAAI/ACM Conference on AI, Ethics, and Society, 2018
43*2018
Learning Global Additive Explanations For Neural Nets Using Model Distillation
S Tan, R Caruana, G Hooker, P Koch, A Gordo
arXiv preprint arXiv:1801.08640, 2018
312018
Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable
HF Tan, G Hooker, MT Wells
NIPS Interpretability Workshop, 2016
102016
Investigating Human+ Machine Complementarity: A Case Study on Recidivism
S Tan, J Adebayo, K Inkpen, E Kamar
10*
Axiomatic Interpretability for Multiclass Additive Models
X Zhang, S Tan, P Koch, Y Lou, U Chajewska, R Caruana
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1*2019
"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations
Y Zhang, K Song, Y Sun, S Tan, M Udell
arXiv preprint arXiv:1904.12991, 2019
12019
Interpretable Approaches to Detect Bias in Black-Box Models
S Tan
AAAI/ACM Conference on AI, Ethics, and Society Doctoral Consortium, 2018
12018
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models
B Lengerich, S Tan, CH Chang, G Hooker, R Caruana
arXiv preprint arXiv:1911.04974, 2019
2019
A Bayesian Evidence Synthesis Approach to Estimate Disease Prevalence in Hard-To-Reach Populations: Hepatitis C in New York City
S Tan, S Makela, D Heller, K Konty, S Balter, T Zheng, JH Stark
Epidemics 23 (June 2018), 96-109, 2018
2018
A Double Parametric Bootstrap Test for Topic Models
S Seto, S Tan, G Hooker, MT Wells
NIPS Interpretability Symposium, 2017
2017
Probabilistic Matching: Incorporating Uncertainty to Correct for Selection Bias
HF Tan, GJ Hooker, MT Wells
NIPS Causal Inference Workshop, 2016
2016
Two Ways of Modeling Hospital Readmissions: Mixed and Marginal Models
HF Tan, R Low, S Ito, R Gregory, L Bielory, V Dunn
Proceedings of the Joint Statistical Meetings, 2013
2013
Using PROC GENMOD to Investigate Drug Interactions: Beta Blockers and Beta Agonists and Their Association with Hospital Admissions
HF Tan, R Low, S Ito, R Gregory, V Dunn
Proceedings of SAS Global Forum, 2013
2013
Hospital Readmission Rates: Related To Ed Volume, Population, And Economic Variables
RB Low, S Ito, R Gregory, L Rassi, HF Tan, C Jacobs
Academic Emergency Medicine 19 (4), S208-S209, 2012
2012
Friends Don’t Let Friends Deploy Black-Box Models: Detecting and Preventing Bias via Transparent Modeling
R Caruana, Y Lou, S Tan, J Gehrke, P Koch, M Sturm, N Elhadad, ...
Interactive Machine Learning via Transparent Modeling: Putting Human Experts in the Driver’s Seat
R Caruana, S Tan, Y Lou, J Gehrke, P Koch, M Sturm, N Elhadad, ...
The system can't perform the operation now. Try again later.
Articles 1–17