Papers

Representative Ranking for Deliberation in the Public Sphere
Manon Revel*, Smitha Milli*, Tyler Lu, Jamelle Watson-Daniels, Max Nickel. ICML 2025 (to appear).
[paper]

Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media
Smitha Milli, Micah Carroll, Yike Wang, Sashrika Pandey, Sebastian Zhao, Anca Dragan. PNAS Nexus 2025.
[paper] [pre-registration] [code & data]

Position: Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work.
Aviv Ovadya, Kyle Redman, Oliver Smith, Luke Thorburn, Flynn Devine, Andrew Konya, Smitha Milli, Manon Revel, Quan Ze Chen, K. J. Kevin Feng, Amy X. Zhang, Bilva Chandra, Michiel A. Bakker, Atoosa Kasirzadeh. ICML 2025 (to appear).
[paper]

Ranking by Engagement and Non-Engagement Signals: Learnings from Industry
Tom Cunningham, Sana Pandey, Leif Sigerson, Jonathan Stray, Jeff Allen, Bonnie Barrilleaux, Ravi Iyer, Mohit Kothari, Behnam Rezaei, Sanjay Kairam, Smitha Milli. Annals of the New York Academy of Sciences 2025 (to appear).
[paper]

Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems
Smitha Milli, Emma Pierson, Nikhil Garg. arXiv 2023.
[paper]

Causal Inference Struggles with Agency on Online Platforms
Smitha Milli, Luca Belli, Moritz Hardt. FAccT 2022.
[paper]

A rational reinterpretation of dual-process theories
Smitha Milli, Falk Lieder, Thomas L. Griffiths. Cognition 2021.
[paper]

From Optimizing Engagement to Measuring Value
Smitha Milli, Luca Belli, Moritz Hardt. FAccT 2021.
[paper] [talk]

Reward-rational (implicit) choice: A unifying formalism for reward learning
Hong Jun Jeon*, Smitha Milli*, Anca Dragan. NeurIPS 2020.
[paper]

Strategic Classification is Causal Modeling in Disguise.
John Miller, Smitha Milli, Moritz Hardt. ICML 2020.
[paper]

Value-laden Disciplinary Shifts in Machine Learning
Ravit Dotan and Smitha Milli. FAccT 2020.
[paper] [talk]

Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning
Smitha Milli and Anca D. Dragan. UAI 2019.
[paper] [talk] [blog]

The Social Cost of Strategic Classification
Smitha Milli, John Miller, Anca D. Dragan, and Moritz Hardt. FAccT 2019.
[paper] [talk]

Model Reconstruction from Model Explanations
Smitha Milli, Ludwig Schmidt, Anca D. Dragan, and Moritz Hardt. FAccT 2019.
[paper] [talk]

Inverse Reward Design
Dylan Hadfield-Menell, Smitha Milli, Stuart Russell, Pieter Abbeel, and Anca Dragan. NeurIPS 2017.
[paper]

Should Robots Be Obedient?
Smitha Milli, Dylan Hadfield-Menell, Anca Dragan, and Stuart Russell. IJCAI 2017.
[paper] [code]

When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems?
Smitha Milli, Falk Lieder, and Thomas L. Griffiths. AAAI 2017.
[paper]

Beyond Canonical Texts: A Computational Analysis of Fanfiction
Smitha Milli and David Bamman. EMNLP 2016.
[paper] [data] [press: berkeley, OTW]

Augmenting Course Material with Open Access Textbooks
Smitha Milli and Marti A. Hearst. Building Educational Applications Workshop, NAACL 2016.
[paper]