Smitha Milli

According to our database, Smitha Milli authored at least 26 papers between 2016 and 2026.

Collaborative distances:

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

2026

The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement.

Jonathan Stray, Ian Baker, George Beknazar-Yuzbashev, Ceren Budak, Julia Kamin, Kylan Rutherford, Mateusz Stalinski, Tin Acosta, Chris Bailey, Michael S. Bernstein, Mark Brandt, Amy Bruckman, Anshuman Chhabra, Soham De, Kayla Duskin, Sara Fish, Beth Goldberg, Andy Guess, Dylan Hadfield-Menell, Muhammad Haroon, Safwan Hossain, Michael Inzlicht, Gauri Jain, Yanchen Jiang, Alexander P. Landry, Yph Lelkes, Hongfan Lu, Peter Mason, Jennifer McCoy, Smitha Milli, Paul Resnick, Emily Saltz, Martin Saveski, Lisa Schirch, Max Spohn, Siddarth Srinivasan, Alexis Tatore, Luke Thorburn, Joshua A. Tucker, Robb Willer, Magdalena Wojcieszak, Manuel Wüthrich, Sylvan Zheng

CoRR, March, 2026

Question the Questions: Auditing Representation in Online Deliberative Processes.

Soham De, Lodewijk Gelauff, Ashish Goel, Smitha Milli, Ariel D. Procaccia, Alice Siu

Proceedings of the ACM Web Conference 2026, 2026

2025

What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data.

Rajiv Movva, Smitha Milli, Sewon Min, Emma Pierson

CoRR, October, 2025

CTRL-Rec: Controlling Recommender Systems With Natural Language.

Micah Carroll, Adeline Foote, Kevin Feng, Marcus Williams, Anca D. Dragan, W. Bradley Knox, Smitha Milli

CoRR, October, 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, Kris Rose, Maximilian Nickel

CoRR, July, 2025

Representative Ranking for Deliberation in the Public Sphere.

Manon Revel, Smitha Milli, Tyler Lu, Jamelle Watson-Daniels, Maximilian Nickel

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Position: Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work.

Aviv Ovadya, Kyle Redman, Luke Thorburn, Quan Ze Chen, Oliver Smith, Flynn Devine, Andrew Konya, Smitha Milli, Manon Revel, Kevin Feng, Amy X. Zhang, Bilva Chandra, Michiel A. Bakker, Atoosa Kasirzadeh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Toward Democracy Levels for AI.

Aviv Ovadya, Luke Thorburn, Kyle Redman, Flynn Devine, Smitha Milli, Manon Revel, Andrew Konya, Atoosa Kasirzadeh

CoRR, 2024

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

2023

Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems.

Smitha Milli, Emma Pierson, Nikhil Garg

CoRR, 2023

Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization.

Smitha Milli, Micah Carroll, Sashrika Pandey, Yike Wang, Anca D. Dragan

CoRR, 2023

2022

Causal Inference Struggles with Agency on Online Platforms.

Smitha Milli, Luca Belli, Moritz Hardt

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

From Optimizing Engagement to Measuring Value.

Smitha Milli, Luca Belli, Moritz Hardt

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Reward-rational (implicit) choice: A unifying formalism for reward learning.

Hong Jun Jeon, Smitha Milli, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Strategic Classification is Causal Modeling in Disguise.

John Miller, Smitha Milli, Moritz Hardt

Proceedings of the 37th International Conference on Machine Learning, 2020

Value-laden disciplinary shifts in machine learning.

Ravit Dotan, Smitha Milli

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

Strategic Adaptation to Classifiers: A Causal Perspective.

John Miller, Smitha Milli, Moritz Hardt

CoRR, 2019

Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning.

Smitha Milli, Anca D. Dragan

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Model Reconstruction from Model Explanations.

Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

The Social Cost of Strategic Classification.

Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2017

Interpretable and Pedagogical Examples.

Smitha Milli, Pieter Abbeel, Igor Mordatch

CoRR, 2017

Inverse Reward Design.

Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart J. Russell, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Should Robots be Obedient?

Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems?

Smitha Milli, Falk Lieder, Thomas L. Griffiths

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Beyond Canonical Texts: A Computational Analysis of Fanfiction.

Smitha Milli, David Bamman

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Augmenting Course Material with Open Access Textbooks.

Smitha Milli, Marti A. Hearst

Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 2016