Andreas Haupt

According to our database, Andreas Haupt authored at least 16 papers between 2014 and 2026.

Collaborative distances:

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

2026

Welfare, Improvability, and Variance: A Principal-Agent Approach to Optimal Benchmark Item Aggregation.

Andreas Haupt, Justin Hartenstein, Anka Reuel, Mykel J. Kochenderfer, Sanmi Koyejo

CoRR, May, 2026

Reward Bias Substitution: Single-Axis Bias Mitigations Redirect Optimization Pressure.

Max Lamparth, Daniel Fein, Andreas Haupt, Marcel Hussing, Mykel J. Kochenderfer

CoRR, May, 2026

General Preference Reinforcement Learning.

Muhammad Umer, Muhammad Ahmed Mohsin, Ahsan Bilal, Arslan Chaudhry, Andreas Haupt, Sanmi Koyejo, Emily Fox, John M. Cioffi

CoRR, May, 2026

Latent Adversarial Regularization for Offline Preference Optimization.

Enyi Jiang, Yibo Jacky Zhang, Yinglun Xu, Andreas Haupt, Nancy M. Amato, Sanmi Koyejo

CoRR, January, 2026

The Collapse of Heterogeneity in Silicon Philosophers.

Yuanming Shi, Andreas Haupt

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025

Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value.

Joe Edelman, Tan Zhi-Xuan, Ryan Lowe, Oliver Klingefjord, Vincent Wang-Mascianica, Matija Franklin, Ryan Othniel Kearns, Ellie Hain, Atrisha Sarkar, Michiel A. Bakker, Fazl Barez, David Duvenaud, Jakob N. Foerster, Iason Gabriel, Joseph Gubbels, Bryce Goodman, Andreas Haupt, Jobst Heitzig, Julian Jara-Ettinger, Atoosa Kasirzadeh, James Ravi Kirkpatrick, Andrew Koh, W. Bradley Knox, Philipp E. Koralus, Joel Lehman, Sydney Levine, Samuele Marro, Manon Revel, Toby Shorin, Morgan Sutherland, Michael Henry Tessler, Ivan Vendrov, James Wilken-Smith

CoRR, December, 2025

Preference Measurement Error, Concentration in Recommendation Systems, and Persuasion.

Andreas Haupt

CoRR, October, 2025

Don't Walk the Line: Boundary Guidance for Filtered Generation.

Sarah Ball, Andreas Haupt

CoRR, October, 2025

Scaling Human Judgment in Community Notes with LLMs.

Haiwen Li, Soham De, Manon Revel, Andreas Haupt, Brad Miller, Keith Coleman, Jay Baxter, Martin Saveski, Michiel A. Bakker

CoRR, June, 2025

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track.

Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch, Brando Miranda, Matthias Gerstgrasser, Susan Zhang, Andreas Haupt, Isha Gupta, Elyas Obbad, Jesse Dodge, Jessica Zosa Forde, Koustuv Sinha, Francesco Orabona, Sanmi Koyejo, David L. Donoho

CoRR, June, 2025

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track.

Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch, Brando Miranda, Matthias Gerstgrasser, Susan Zhang, Andreas Haupt, Isha Gupta, Elyas Obbad, Jesse Dodge, Jessica Zosa Forde, Francesco Orabona, Sanmi Koyejo, David L. Donoho

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Position: AI Should Not Be An Imitation Game: Centaur Evaluations.

Andreas Haupt, Erik Brynjolfsson

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

2021

Prior-Free Auctions for the Demand Side of Federated Learning.

Andreas Haupt, Vaikkunth Mugunthan

CoRR, 2021

2017

Classification on Large Networks: A Quantitative Bound via Motifs and Graphons.

Andreas Haupt, Mohammad Khatami, Thomas Schultz, Ngoc Mai Tran

CoRR, 2017

2016

Zwei Methoden zum Entwurf ressourcenschonender funkbasierter digitaler Regelungssysteme.

Andreas Haupt, Thomas Steffen

Autom., 2016

2014

Control design in a distributed WNCS using energy optimal scheduled medium access.

Andreas Haupt, Eduardo S. Tognetti, Adolfo Bauchspiess, Lothar Litz

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014