Andreas A. Haupt

15 papers A* 2A 2Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — conf
Black-Box Access is Insufficient for Rigorous AI Audits.
FAccT
Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas A. Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell
2024 J jnl
Convex Markov Games: A Framework for Fairness, Imitation, and Creativity in Multi-Agent Learning.
CoRR
Ian Gemp, Andreas A. Haupt, Luke Marris, Siqi Liu, Georgios Piliouras
2024 J jnl
Formal contracts mitigate social dilemmas in multi-agent reinforcement learning.
Auton. Agents Multi Agent Syst.
Andreas A. Haupt, Phillip J. K. Christoffersen, Mehul Damani, Dylan Hadfield-Menell
2024 J jnl
Risk preferences of learning algorithms.
Games Econ. Behav.
Andreas A. Haupt, Aroon Narayanan
2024 A* conf
Steering No-Regret Learners to a Desired Equilibrium.
EC
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
2023 J jnl
Certification Design for a Competitive Market.
CoRR
Andreas A. Haupt, Nicole Immorlica, Brendan Lucier
2023 A* conf
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games.
NeurIPS
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
2023 A conf
Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL.
AAMAS
Phillip J. K. Christoffersen, Andreas A. Haupt, Dylan Hadfield-Menell
2023 J jnl
Recommending to Strategic Users.
CoRR
Andreas A. Haupt, Dylan Hadfield-Menell, Chara Podimata
2022 J jnl
Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL.
CoRR
Phillip J. K. Christoffersen, Andreas A. Haupt, Dylan Hadfield-Menell
2022 J jnl
Risk Aversion In Learning Algorithms and an Application To Recommendation Systems.
CoRR
Andreas A. Haupt, Aroon Narayanan
2022 A conf
Towards Psychologically-Grounded Dynamic Preference Models.
RecSys
Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan Hadfield-Menell
2022 J jnl
Towards Psychologically-Grounded Dynamic Preference Models.
CoRR
Mihaela Curmei, Andreas A. Haupt, Dylan Hadfield-Menell, Benjamin Recht
2021 — conf
The Optimality of Upgrade Pricing.
WINE
Dirk Bergemann, Alessandro Bonatti, Andreas A. Haupt, Alex Smolin
2021 J jnl
The Optimality of Upgrade Pricing.
CoRR
Dirk Bergemann, Alessandro Bonatti, Andreas A. Haupt, Alex Smolin