Algorithmic Decision Making and the Cost of Fairness. - Sam Corbett-Davies; Emma Pierson; Avi Feller; Sharad Goel; Aziz Huq (KDD, 2017)

Bayesian Sensitivity Analysis for Offline Policy Evaluation. - Jongbin Jung; Ravi Shroff; Avi Feller; Sharad Goel (AIES, 2020)

Outcome Assumptions and Duality Theory for Balancing Weights. - David A. Bruns-Smith; Avi Feller (AISTATS, 2022)

Weak Separation in Mixture Models and Implications for Principal Stratification. - Nhat Ho; Avi Feller; Evan Greif; Luke Miratrix; Natesh S. Pillai (AISTATS, 2022)

Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks. - David Bruns-Smith; Avi Feller; Emi Nakamura (FAccT, 2023)

Augmented balancing weights as linear regression. - David Bruns-Smith; Oliver Dukes; Avi Feller; Elizabeth L. Ogburn (CoRR, 2023)

Continuous Treatment Effects with Surrogate Outcomes. - Zhenghao Zeng; David Arbour; Avi Feller; Raghavendra Addanki; Ryan A. Rossi; Ritwik Sinha; Edward H. Kennedy (ICML, 2024)

Towards Representation Learning for Weighting Problems in Design-Based Causal Inference. - Oscar Clivio; Avi Feller; Chris C. Holmes (UAI, 2024)

The Impossibility of Fair LLMs. - Jacy Reese Anthis; Kristian Lum; Michael D. Ekstrand; Avi Feller; Alexander D'Amour; Chenhao Tan (CoRR, 2024)

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 002; Yunyao Li 001 (AAAI, 2025)

The Impossibility of Fair LLMs. - Jacy Reese Anthis; Kristian Lum; Michael D. Ekstrand; Avi Feller; Chenhao Tan (ACL (1), 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; et al. (CoRR, 2025)