Matthias Gerstgrasser

According to our database, Matthias Gerstgrasser authored at least 17 papers between 2016 and 2024.

Collaborative distances:

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

2024

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data.

Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Henry Sleight, John Hughes, Tomasz Korbak, Rajashree Agrawal, Dhruv Pai, Andrey Gromov, Daniel A. Roberts, Diyi Yang, David L. Donoho, Sanmi Koyejo

CoRR, 2024

Grounding Gaps in Language Model Generations.

Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Grounding or Guesswork? Large Language Models are Presumptive Grounders.

Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky

CoRR, 2023

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning.

Matthias Gerstgrasser, Tom Danino, Sarah Keren

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning.

Matthias Gerstgrasser, David C. Parkes

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning Stackelberg Equilibria and Applications to Economic Design Games.

Gianluca Brero, Alon Eden, Darshan Chakrabarti, Matthias Gerstgrasser, Vincent Li, David C. Parkes

CoRR, 2022

CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning.

Matthias Gerstgrasser, Rakshit Trivedi, David C. Parkes

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Promoting Resilience in Multi-Agent Reinforcement Learning via Confusion-Based Communication.

Ofir Abu, Matthias Gerstgrasser, Jeffrey S. Rosenschein, Sarah Keren

CoRR, 2021

Reinforcement Learning of Sequential Price Mechanisms.

Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Reinforcement Learning of Simple Indirect Mechanisms.

Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo

CoRR, 2020

2019

Reverse auctions are different from auctions.

Matthias Gerstgrasser

Inf. Process. Lett., 2019

Multi-Unit Bilateral Trade.

Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Market intermediation: information, computation, and incentives.

Matthias Gerstgrasser

PhD thesis, 2018

On the Complexity of Optimal Correlated Auctions and Reverse Auctions.

Matthias Gerstgrasser

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease.

Wolfgang Fruehwirt, Pengfei Zhang, Matthias Gerstgrasser, Dieter Grossegger, Reinhold Schmidt, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Leonard Weydemann, Heinrich Garn, Markus Waser, Michael A. Osborne, Georg Dorffner

Proceedings of the Artificial Intelligence in Medicine, 2017

2016

A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters.

Matthias Gerstgrasser, Sarah Nicholls, Michael Stout, Katherine Smart, Chris Powell, Theodore Kypraios, Dov J. Stekel

J. Bioinform. Comput. Biol., 2016

Revenue Maximization for Market Intermediation with Correlated Priors.

Matthias Gerstgrasser, Paul W. Goldberg, Elias Koutsoupias

Proceedings of the Algorithmic Game Theory - 9th International Symposium, 2016