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2020 – today
- 2024
[c5]Jessica Dai, Bailey Flanigan, Meena Jagadeesan, Nika Haghtalab, Chara Podimata:
Can Probabilistic Feedback Drive User Impacts in Online Platforms? AISTATS 2024: 2512-2520- [c4]Jessica Dai:
Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis. ICML 2024 - [i9]Jessica Dai, Bailey Flanigan, Nika Haghtalab, Meena Jagadeesan, Chara Podimata:
Can Probabilistic Feedback Drive User Impacts in Online Platforms? CoRR abs/2401.05304 (2024) - [i8]Jessica Dai, Eve Fleisig:
Mapping Social Choice Theory to RLHF. CoRR abs/2404.13038 (2024) - [i7]Jessica Dai:
Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis. CoRR abs/2404.13861 (2024) - [i6]Jessica Dai, Nika Haghtalab, Eric Zhao:
Learning With Multi-Group Guarantees For Clusterable Subpopulations. CoRR abs/2410.14588 (2024) - 2023
- [c3]Jessica Dai, Paula Gradu, Christopher Harshaw:
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments. NeurIPS 2023 - [i5]Jessica Dai, Paula Gradu, Christopher Harshaw:
Clip-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments. CoRR abs/2305.17187 (2023) - 2022
- [c2]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: 203-214 - [i4]Kweku Kwegyir-Aggrey, Jessica Dai, John P. Dickerson, Keegan Hines:
Achieving Downstream Fairness with Geometric Repair. CoRR abs/2203.07490 (2022) - [i3]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 abs/2205.07277 (2022) - 2021
- [c1]Jessica Dai, Sina Fazelpour
, Zachary C. Lipton:
Fair Machine Learning Under Partial Compliance. AIES 2021: 55-65 - [i2]Jessica Dai, Sohini Upadhyay, Stephen H. Bach, Himabindu Lakkaraju:
What will it take to generate fairness-preserving explanations? CoRR abs/2106.13346 (2021) - 2020
- [i1]Jessica Dai, Sina Fazelpour, Zachary C. Lipton:
Fair Machine Learning Under Partial Compliance. CoRR abs/2011.03654 (2020)
Coauthor Index
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