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Merge pull request #136 from AMLab-Amsterdam/MatyasSchubertUpdate
Matyas Schubert Update
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_bibliography/MatyasSchubert.bib

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@InProceedings{schubert2025snap,
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title = {SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph},
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author = {Schubert, M{\'a}ty{\'a}s and Claassen, Tom and Magliacane, Sara},
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booktitle = {Proceedings of The 28th International Conference on Artificial Intelligence and Statistics},
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pages = {3340--3348},
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year = {2025},
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editor = {Li, Yingzhen and Mandt, Stephan and Agrawal, Shipra and Khan, Emtiyaz},
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volume = {258},
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series = {Proceedings of Machine Learning Research},
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month = {03--05 May},
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publisher = {PMLR},
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pdf = {https://raw.githubusercontent.com/mlresearch/v258/main/assets/schubert25a/schubert25a.pdf},
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url = {https://proceedings.mlr.press/v258/schubert25a.html},
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}

_people/MatyasSchubert.md

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lab: AMLab
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institute: Institute of Informatics
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university: University of Amsterdam
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supervisors: [Sara Magliacane, Max Welling]
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one_liner: Causality-inspired Reinforcement Learning
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bib_file:
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redirect:
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supervisors: [Sara Magliacane]
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one_liner: Causal machine learning
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bib_file: MatyasSchubert
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redirect:
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description: |
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I am a PhD student at the [Amsterdam Machine Learning Lab](/) (AMLab) supervised by [Sara Magliacane](https://saramagliacane.github.io/) and [Max Welling](https://staff.fnwi.uva.nl/m.welling/). I am mainly interested in reinforcement learning methods that can discover and utilize causal information about their environment.
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I am a PhD student at the [Amsterdam Machine Learning Lab](/) (AMLab) supervised by [Sara Magliacane](https://saramagliacane.github.io/). I mainly work on scalable causal discovery for downstream tasks, such as causal effect estimation.
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img: assets/img/MatyasSchubert.jpg
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img_promo:
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img_promo:
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personal_page: https://matyasch.github.io
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scholar_userid: vN9Wlw8AAAAJ
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github_username: Matyasch
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twitter_username: MatyasSchubert
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mastodon_username:
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mastodon_server:
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category: PhD Students
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---
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