Augmenting Course Material with Open Access Textbooks. - Smitha Milli; Marti A. Hearst (BEA@NAACL-HLT, 2016)

Beyond Canonical Texts: A Computational Analysis of Fanfiction. - Smitha Milli; David Bamman (EMNLP, 2016)

When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems? - Smitha Milli; Falk Lieder; Thomas L. Griffiths 001 (AAAI, 2017)

Should Robots be Obedient? - Smitha Milli; Dylan Hadfield-Menell; Anca D. Dragan; Stuart Russell 001 (IJCAI, 2017)

Inverse Reward Design. - Dylan Hadfield-Menell; Smitha Milli; Pieter Abbeel; Stuart J. Russell; Anca D. Dragan (NIPS, 2017)

Interpretable and Pedagogical Examples. - Smitha Milli; Pieter Abbeel; Igor Mordatch (CoRR, 2017)

The Social Cost of Strategic Classification. - Smitha Milli; John Miller 001; Anca D. Dragan; Moritz Hardt (FAT, 2019)

Model Reconstruction from Model Explanations. - Smitha Milli; Ludwig Schmidt; Anca D. Dragan; Moritz Hardt (FAT, 2019)

Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. - Smitha Milli; Anca D. Dragan (UAI, 2019)

Strategic Adaptation to Classifiers: A Causal Perspective. - John Miller 001; Smitha Milli; Moritz Hardt (CoRR, 2019)

Value-laden disciplinary shifts in machine learning. - Ravit Dotan; Smitha Milli (FAT*, 2020)

Strategic Classification is Causal Modeling in Disguise. - John Miller 001; Smitha Milli; Moritz Hardt (ICML, 2020)

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

From Optimizing Engagement to Measuring Value. - Smitha Milli; Luca Belli; Moritz Hardt (FAccT, 2021)

Causal Inference Struggles with Agency on Online Platforms. - Smitha Milli; Luca Belli; Moritz Hardt (FAccT, 2022)

Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization. - Smitha Milli; Micah Carroll; Sashrika Pandey; Yike Wang 002; Anca D. Dragan (CoRR, 2023)

Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems. - Smitha Milli; Emma Pierson; Nikhil Garg 001 (CoRR, 2023)

What We Know About Using Non-Engagement Signals in Content Ranking. - Tom Cunningham; Sana Pandey; Leif Sigerson; Jonathan Stray; Jeff Allen; Bonnie Barrilleaux; Ravi Iyer; Smitha Milli; Mohit Kothari; Behnam Rezaei (CoRR, 2024)

Toward Democracy Levels for AI. - Aviv Ovadya; Luke Thorburn; Kyle Redman; Flynn Devine; Smitha Milli; Manon Revel; Andrew Konya; Atoosa Kasirzadeh (CoRR, 2024)

Representative Ranking for Deliberation in the Public Sphere. - Manon Revel; Smitha Milli; Tyler Lu; Jamelle Watson-Daniels; Max Nickel (CoRR, 2025)

Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset. - Lily Hong Zhang; Smitha Milli; Karen Jusko; Jonathan Smith; Brandon Amos; Wassim Bouaziz; Manon Revel; Jack Kussman; Lisa Titus; Bhaktipriya Radharapu; Jane Yu; Vidya Sarma; et al. (CoRR, 2025)