publications

2026

1. ARXIV

   FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data

   Marcel Hedman, Emily Alger, Brieuc Lehmann, and 2 more authors

   2026

   Bib

   @misc{hedman2026fairbedbayesianexperimentaldesign,
     title = {FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data},
     author = {Hedman, Marcel and Alger, Emily and Lehmann, Brieuc and Holmes, Chris and Rainforth, Tom},
     year = {2026},
     eprint = {2606.23515},
     archiveprefix = {arXiv},
     primaryclass = {stat.ML},
     url = {https://arxiv.org/abs/2606.23515},
   }

2. ICML Workshop

   Molten Pot: Evaluations & Datasets for Social Offline Reinforcement Learning

   Juan Claude Formanek^*, Marcel Hedman^*, Kale-ab Tessera, and 2 more authors

   In Decision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning, 2026

   Bib

   @inproceedings{formanek2026moltenpot,
     title = {Molten Pot: Evaluations \& Datasets for Social Offline Reinforcement Learning},
     author = {Formanek, Juan Claude and Hedman, Marcel and Tessera, Kale-ab and Holmes, Christopher C. and Shock, Jonathan P.},
     booktitle = {Decision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning},
     year = {2026},
     url = {https://openreview.net/forum?id=0NYZ3Hkamd},
   }

3. RLC

   CODA: Coordination via On-Policy Diffusion for Multi-Agent Offline Reinforcement Learning

   Marcel Hedman, Kale-ab Abebe Tessera, Juan Claude Formanek, and 5 more authors

   2026

   Bib

   @misc{hedman2026codacoordinationonpolicydiffusion,
     title = {CODA: Coordination via On-Policy Diffusion for Multi-Agent Offline Reinforcement Learning},
     author = {Hedman, Marcel and Tessera, Kale-ab Abebe and Formanek, Juan Claude and Sims, Anya and Zamboni, Riccardo and McInroe, Trevor and Torr, John and Fosong, Elliot},
     year = {2026},
     eprint = {2604.23308},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2604.23308},
   }

2025

1. ICML

   Step-DAD: semi-amortized policy-based Bayesian experimental design

   Marcel Hedman^*, Desi R. Ivanova^*, Cong. Guan, and 1 more author

   In Proceedings of the 42nd International Conference on Machine Learning, 2025

   Bib Code

   @inproceedings{hedman2025a,
     title = {Step-DAD: semi-amortized policy-based Bayesian experimental design},
     author = {Hedman, Marcel and Ivanova, Desi R. and Guan, Cong. and Rainforth, Tom. W. G.},
     booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
     series = {Proceedings of Machine Learning Research},
     publisher = {PMLR},
     year = {2025},
     url = {https://icml.cc/virtual/2025/poster/45693},
   }

2021

1. IJCAI

   Parsing Birdsong with Deep Audio Embeddings

   Irina Tolkova^*, Brian Chu^*, Marcel Hedman^*, and 2 more authors

   In IJCAI 2021 Workshop on Artificial Intelligence for Social Good (AI4SG), 2021

   Workshop paper

   Bib

   @inproceedings{tolkova2021birdsong,
     title = {Parsing Birdsong with Deep Audio Embeddings},
     author = {Tolkova, Irina and Chu, Brian and Hedman, Marcel and Kahl, Stefan and Klinck, Holger},
     booktitle = {IJCAI 2021 Workshop on Artificial Intelligence for Social Good (AI4SG)},
     year = {2021},
     url = {https://amulyayadav.github.io/AI4SG2021/#program},
     note = {Workshop paper},
     archiveprefix = {arXiv},
     eprint = {2108.09203},
     primaryclass = {cs.LG},
   }