Matthias Gerstgrasser

24 papers A* 6A 2B 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World.
ICML
Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo
2025 J jnl
Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track.
CoRR
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
2024 J jnl
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World.
CoRR
Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo
2024 — conf
Grounding Gaps in Language Model Generations.
NAACL-HLT
Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
2024 J jnl
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data.
CoRR
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
2023 J jnl
Grounding or Guesswork? Large Language Models are Presumptive Grounders.
CoRR
Omar Shaikh, Kristina Gligoric, Ashna Khetan, Matthias Gerstgrasser, Diyi Yang, Dan Jurafsky
2023 A* conf
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning.
ICML
Matthias Gerstgrasser, David C. Parkes
2023 A conf
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning.
AAMAS
Matthias Gerstgrasser, Tom Danino, Sarah Keren
2023 A* conf
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning.
NeurIPS
Matthias Gerstgrasser, Tom Danino, Sarah Keren
2023 J jnl
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning.
CoRR
Matthias Gerstgrasser, Tom Danino, Sarah Keren
2022 A* conf
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning.
ICLR
Matthias Gerstgrasser, Rakshit S. Trivedi, David C. Parkes
2022 J jnl
Learning Stackelberg Equilibria and Applications to Economic Design Games.
CoRR
Gianluca Brero, Alon Eden, Darshan Chakrabarti, Matthias Gerstgrasser, Vincent Li, David C. Parkes
2022 J jnl
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning.
CoRR
Matthias Gerstgrasser, David C. Parkes
2021 J jnl
Promoting Resilience in Multi-Agent Reinforcement Learning via Confusion-Based Communication.
CoRR
Ofir Abu, Matthias Gerstgrasser, Jeffrey S. Rosenschein, Sarah Keren
2021 A* conf
Reinforcement Learning of Sequential Price Mechanisms.
AAAI
Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo
2020 J jnl
Reinforcement Learning of Simple Indirect Mechanisms.
CoRR
Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo
2019 A* conf
Multi-Unit Bilateral Trade.
AAAI
Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik
2019 J jnl
Reverse auctions are different from auctions.
Inf. Process. Lett.
Matthias Gerstgrasser
2018 — —
Market intermediation: information, computation, and incentives.
Matthias Gerstgrasser
2018 J jnl
Multi-unit Bilateral Trade.
CoRR
Matthias Gerstgrasser, Paul W. Goldberg, Bart de Keijzer, Philip Lazos, Alexander Skopalik
2018 A conf
On the Complexity of Optimal Correlated Auctions and Reverse Auctions.
AAMAS
Matthias Gerstgrasser
2017 B conf
Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease.
AIME
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
2016 J jnl
A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters.
J. Bioinform. Comput. Biol.
Matthias Gerstgrasser, Sarah Nicholls, Michael Stout, Katherine Smart, Chris Powell, Theodore Kypraios, Dov J. Stekel
2016 B conf
Revenue Maximization for Market Intermediation with Correlated Priors.
SAGT
Matthias Gerstgrasser, Paul W. Goldberg, Elias Koutsoupias