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Jessica Dai
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 9
Top Topics
Machine Learning
Post Hoc
Statistical Methods
Automatically Generate
Top Venues
CoRR
AIES
NeurIPS
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Publications
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Jessica Dai
,
Bailey Flanigan
,
Nika Haghtalab
,
Meena Jagadeesan
,
Chara Podimata
Can Probabilistic Feedback Drive User Impacts in Online Platforms?
CoRR
(2024)
Jessica Dai
,
Paula Gradu
,
Christopher Harshaw
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments.
NeurIPS
(2023)
Jessica Dai
,
Paula Gradu
,
Christopher Harshaw
Clip-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments.
CoRR
(2023)
Kweku Kwegyir-Aggrey
,
Jessica Dai
,
John P. Dickerson
,
Keegan Hines
Achieving Downstream Fairness with Geometric Repair.
CoRR
(2022)
Jessica Dai
,
Sohini Upadhyay
,
Ulrich Aïvodji
,
Stephen H. Bach
,
Himabindu Lakkaraju
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations.
CoRR
(2022)
Jessica Dai
,
Sohini Upadhyay
,
Ulrich Aïvodji
,
Stephen H. Bach
,
Himabindu Lakkaraju
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations.
AIES
(2022)
Jessica Dai
,
Sina Fazelpour
,
Zachary Lipton
Fair Machine Learning Under Partial Compliance.
AIES
(2021)
Jessica Dai
,
Sohini Upadhyay
,
Stephen H. Bach
,
Himabindu Lakkaraju
What will it take to generate fairness-preserving explanations?
CoRR
(2021)
Jessica Dai
,
Sina Fazelpour
,
Zachary C. Lipton
Fair Machine Learning Under Partial Compliance.
CoRR
(2020)