Rebecca Wexler

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All published works

Action	Title	Year	Authors
+ PDF Chat	Adversarial Scrutiny of Evidentiary Statistical Software	2022	Rediet Abebe Moritz Hardt Angela Jin John A. Miller Ludwig Schmidt Rebecca Wexler
+ PDF Chat	Adversarial Scrutiny of Evidentiary Statistical Software	2022	Rediet Abebe Moritz Hardt Angela Jin John A. Miller Ludwig Schmidt Rebecca Wexler
+	Verification Dilemmas, Law, and the Promise of Zero-Knowledge Proofs	2021	Kenneth A. Bamberger Ran Canetti Shafi Goldwasser Rebecca Wexler Evan Joseph Zimmerman

Common Coauthors

Coauthor	Papers Together
Angela Jin	2
John A. Miller	2
Ludwig Schmidt	2
Moritz Hardt	2
Rediet Abebe	2
Shafi Goldwasser	1
Ran Canetti	1
Evan Joseph Zimmerman	1
Kenneth A. Bamberger	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning	2022	A. Feder Cooper Emanuel Moss Benjamin Laufer Helen Nissenbaum	2
+	Patterns, predictions, and actions: A story about machine learning	2021	Moritz Hardt Benjamin Recht	2
+	Hyperparameter Optimization Is Deceiving Us, and How to Stop It	2021	A. Feder Cooper Yucheng Lu Jessica Zosa Forde Christopher De	2
+	Do ImageNet Classifiers Generalize to ImageNet?	2019	Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar	2
+	Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments	2017	Alexandra Chouldechova	2
+	Roles for computing in social change	2020	Rediet Abebe Solon Barocas Jon Kleinberg Karen Levy Manish Raghavan David G. Robinson	2
+	Problem Formulation and Fairness	2019	Samir Passi Solon Barocas	2
+	WILDS: A Benchmark of in-the-Wild Distribution Shifts	2020	Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang Akshay Balsubramani Weihua Hu Michihiro Yasunaga Richard L. Phillips Irena Gao	2
+ PDF Chat	A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability	2022	Mona Sloane Emanuel Moss Rumman Chowdhury	2
+ PDF Chat	Outcome indistinguishability	2021	Cynthia Dwork Michael P. Kim Omer Reingold Guy N. Rothblum Gal Yona	2
+ PDF Chat	Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study	2018	John R. Zech Marcus A. Badgeley Manway Liu Anthony Costa J. Titano Eric K. Oermann	2
+ PDF Chat	An Uncommon Task: Participatory Design in Legal AI	2022	Fernando Delgado Solon Barocas Karen Levy	2
+	Inherent Trade-Offs in the Fair Determination of Risk Scores	2016	Jon Kleinberg Sendhil Mullainathan Manish Raghavan	1
+	The Measure and Mismeasure of Fairness	2018	Sam Corbett‐Davies Sharad Goel	1
+ PDF Chat	Defending IEEE Software Standards in Federal Criminal Court	2021	Marc Canellas	1
+ PDF Chat	Inherent Tradeoffs in the Fair Determination of Risk Scores	2023	Manish Raghavan	1