Rachel Freedman

According to our database, Rachel Freedman authored at least 13 papers between 2018 and 2026.

Collaborative distances:

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

2026

Adaptive Pluralistic Alignment: A pipeline for dynamic artificial democracy.

Rachel Freedman

CoRR, May, 2026

Active Teacher Selection for Reward Learning.

Rachel Freedman, Justin Svegliato, Kyle Hollins Wray, Stuart Russell

Trans. Mach. Learn. Res., 2026

2024

Linear Probe Penalties Reduce LLM Sycophancy.

Henry Papadatos, Rachel Freedman

CoRR, 2024

Social Choice for AI Alignment: Dealing with Diverse Human Feedback.

Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mossé, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker

CoRR, 2024

Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback.

Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mossé, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker

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

2023

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell

Trans. Mach. Learn. Res., 2023

Active teacher selection for reinforcement learning from human feedback.

Rachel Freedman, Justin Svegliato, Kyle Hollins Wray, Stuart Russell

CoRR, 2023

Active Reward Learning from Multiple Teachers.

Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

The Expertise Problem: Learning from Specialized Feedback.

Oliver Daniels-Koch, Rachel Freedman

CoRR, 2022

2020

Aligning with Heterogeneous Preferences for Kidney Exchange.

Rachel Freedman

CoRR, 2020

Choice Set Misspecification in Reward Inference.

Rachel Freedman, Rohin Shah, Anca D. Dragan

Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

Aligning with Heterogenous Preferences for Kidney Exchange.

Rachel Freedman

Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

2018

Adapting a Kidney Exchange Algorithm to Align with Human Values.

Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018