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2020 – today
- 2024
[c6]Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy:
Continuous Treatment Effects with Surrogate Outcomes. ICML 2024- [i6]Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy:
Continuous Treatment Effects with Surrogate Outcomes. CoRR abs/2402.00168 (2024) - [i5]Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan:
The Impossibility of Fair LLMs. CoRR abs/2406.03198 (2024) - [i4]Oscar Clivio, Avi Feller, Christopher C. Holmes:
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference. CoRR abs/2409.16407 (2024) - 2023
- [c5]David Bruns-Smith
, Avi Feller, Emi Nakamura:
Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks. FAccT 2023: 1747-1756 - [i3]David Bruns-Smith, Oliver Dukes, Avi Feller, Elizabeth L. Ogburn:
Augmented balancing weights as linear regression. CoRR abs/2304.14545 (2023) - 2022
- [c4]Nhat Ho, Avi Feller, Evan Greif, Luke Miratrix, Natesh S. Pillai:
Weak Separation in Mixture Models and Implications for Principal Stratification. AISTATS 2022: 5416-5458 - [c3]David A. Bruns-Smith, Avi Feller:
Outcome Assumptions and Duality Theory for Balancing Weights. AISTATS 2022: 11037-11055 - [i2]David Bruns-Smith, Avi Feller:
Outcome Assumptions and Duality Theory for Balancing Weights. CoRR abs/2203.09557 (2022) - 2020
- [c2]Jongbin Jung, Ravi Shroff, Avi Feller, Sharad Goel:
Bayesian Sensitivity Analysis for Offline Policy Evaluation. AIES 2020: 64-70
2010 – 2019
- 2017
- [c1]Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq:
Algorithmic Decision Making and the Cost of Fairness. KDD 2017: 797-806 - [i1]Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq:
Algorithmic decision making and the cost of fairness. CoRR abs/1701.08230 (2017)
Coauthor Index
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