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ORCIDAndreas Alexander Haupt
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Journal Articles
- 2024
[j2]Andreas A. Haupt, Phillip J. K. Christoffersen, Mehul Damani, Dylan Hadfield-Menell:
Formal contracts mitigate social dilemmas in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 38(2): 51 (2024)- [j1]Andreas A. Haupt
, Aroon Narayanan:
Risk preferences of learning algorithms. Games Econ. Behav. 148: 415-426 (2024)
Conference and Workshop Papers
- 2024
- [c8]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:
Black-Box Access is Insufficient for Rigorous AI Audits. FAccT 2024: 2254-2272 - [c7]Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Steering No-Regret Learners to a Desired Equilibrium. EC 2024: 73-74 - [c6]Andreas Alexander Haupt, Nicole Immorlica, Brendan Lucier:
Certification Design for a Competitive Market. EC 2024: 852 - 2023
- [c5]Phillip J. K. Christoffersen, Andreas A. Haupt, Dylan Hadfield-Menell:
Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL. AAMAS 2023: 448-456 - [c4]Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. NeurIPS 2023 - 2022
- [c3]Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan Hadfield-Menell:
Towards Psychologically-Grounded Dynamic Preference Models. RecSys 2022: 35-48 - [c2]Andreas Alexander Haupt, Zoë Kettler Hitzig:
Contextually Private Mechanisms. EC 2022: 1144 - 2021
- [c1]Dirk Bergemann, Alessandro Bonatti, Andreas A. Haupt, Alex Smolin:
The Optimality of Upgrade Pricing. WINE 2021: 41-58
Informal and Other Publications
- 2024
- [i9]Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas Alexander 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:
Black-Box Access is Insufficient for Rigorous AI Audits. CoRR abs/2401.14446 (2024) - 2023
- [i8]Andreas A. Haupt, Nicole Immorlica, Brendan Lucier:
Certification Design for a Competitive Market. CoRR abs/2301.13449 (2023) - [i7]Andreas A. Haupt, Dylan Hadfield-Menell, Chara Podimata:
Recommending to Strategic Users. CoRR abs/2302.06559 (2023) - [i6]Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. CoRR abs/2306.05216 (2023) - [i5]Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Steering No-Regret Learners to Optimal Equilibria. CoRR abs/2306.05221 (2023) - 2022
- [i4]Andreas A. Haupt, Aroon Narayanan:
Risk Aversion In Learning Algorithms and an Application To Recommendation Systems. CoRR abs/2205.04619 (2022) - [i3]Mihaela Curmei, Andreas A. Haupt, Dylan Hadfield-Menell, Benjamin Recht:
Towards Psychologically-Grounded Dynamic Preference Models. CoRR abs/2208.01534 (2022) - [i2]Phillip J. K. Christoffersen, Andreas A. Haupt, Dylan Hadfield-Menell:
Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL. CoRR abs/2208.10469 (2022) - 2021
- [i1]Dirk Bergemann, Alessandro Bonatti, Andreas A. Haupt, Alex Smolin:
The Optimality of Upgrade Pricing. CoRR abs/2107.10323 (2021)
Coauthor Index
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