Avi Feller

According to our database, Avi Feller authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Bridging Prediction and Intervention Problems in Social Systems.

Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson

CoRR, July, 2025

The Impossibility of Fair LLMs.

Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Chenhao Tan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Evaluation and Incident Prevention in an Enterprise AI Assistant.

Akash V. Maharaj, David Arbour, Daniel Lee, Uttaran Bhattacharya, Anup B. Rao, Austin Zane, Avi Feller, Kun Qian, Yunyao Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

The Impossibility of Fair LLMs.

Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan

CoRR, 2024

Towards Representation Learning for Weighting Problems in Design-Based Causal Inference.

Oscar Clivio, Avi Feller, Chris C. Holmes

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Continuous Treatment Effects with Surrogate Outcomes.

Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Augmented balancing weights as linear regression.

David Bruns-Smith, Oliver Dukes, Avi Feller, Elizabeth L. Ogburn

CoRR, 2023

Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks.

David Bruns-Smith, Avi Feller, Emi Nakamura

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Weak Separation in Mixture Models and Implications for Principal Stratification.

Nhat Ho, Avi Feller, Evan Greif, Luke Miratrix, Natesh S. Pillai

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Outcome Assumptions and Duality Theory for Balancing Weights.

David A. Bruns-Smith, Avi Feller

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Bayesian Sensitivity Analysis for Offline Policy Evaluation.

Jongbin Jung, Ravi Shroff, Avi Feller, Sharad Goel

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2017

Algorithmic Decision Making and the Cost of Fairness.

Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017