Matthias Gerstgrasser

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 20

Top Topics

Biologically Relevant

Reinforcement Learning

Reverse Auction

Top Venues

Inf. Process. Lett.

Publications

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
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. CoRR (2024)
Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
Grounding Gaps in Language Model Generations. NAACL-HLT (2024)
Matthias Gerstgrasser, David C. Parkes
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning. ICML (2023)
Matthias Gerstgrasser, Tom Danino, Sarah Keren
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning. NeurIPS (2023)
Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
Grounding or Guesswork? Large Language Models are Presumptive Grounders. CoRR (2023)
Matthias Gerstgrasser, Tom Danino, Sarah Keren
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning. AAMAS (2023)
Matthias Gerstgrasser, Tom Danino, Sarah Keren
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning. CoRR (2023)
Matthias Gerstgrasser, David C. Parkes
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning. CoRR (2022)
Gianluca Brero, Alon Eden, Darshan Chakrabarti, Matthias Gerstgrasser, Vincent Li, David C. Parkes
Learning Stackelberg Equilibria and Applications to Economic Design Games. CoRR (2022)
Matthias Gerstgrasser, Rakshit Trivedi, David C. Parkes
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning. ICLR (2022)
Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo
Reinforcement Learning of Sequential Price Mechanisms. AAAI (2021)
Ofir Abu, Matthias Gerstgrasser, Jeffrey Rosenschein, Sarah Keren
Promoting Resilience in Multi-Agent Reinforcement Learning via Confusion-Based Communication. CoRR (2021)
Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo
Reinforcement Learning of Simple Indirect Mechanisms. CoRR (2020)
Matthias Gerstgrasser
Reverse auctions are different from auctions. Inf. Process. Lett. 147 (2019)
Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik
Multi-Unit Bilateral Trade. AAAI (2019)
Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik
Multi-unit Bilateral Trade. CoRR (2018)
Matthias Gerstgrasser
On the Complexity of Optimal Correlated Auctions and Reverse Auctions. AAMAS (2018)
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
Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease. AIME (2017)
Matthias Gerstgrasser, Sarah Nicholls, Michael Stout, Katherine Smart, Chris Powell, Theodore Kypraios, Dov J. Stekel
A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters. J. Bioinform. Comput. Biol. 14 (3) (2016)
Matthias Gerstgrasser, Paul W. Goldberg, Elias Koutsoupias
Revenue Maximization for Market Intermediation with Correlated Priors. SAGT (2016)