Zoltán Szabó: stat.ML moderator, (senior) area chair, reviewing grants, programme director of MSc data science, (senior) associate editor, editorial board member, organizing activity (research showcase, seminar, workshop, conference, journal club).

stat.ML moderator on arXiv:

• I am the moderator of statistical machine learning on arXiv.

Senior Area Chair (SAC):

• AISTATS-2026, NeurIPS-2025, AISTATS-2025, NeurIPS-2024, AISTATS-2024, AISTATS-2023, NeurIPS-2019.

Area Chair (AC):

• UAI-2025, ICML-2025, UAI-2024, ICML-2024, COLT-2024, NeurIPS-2023, ICML-2023, UAI-2023, COLT-2023, ICLR-2023, NeurIPS-2022, ICML-2022, UAI-2022, COLT-2022, AISTATS-2022, ICLR-2022, NeurIPS-2021, ICML-2021, UAI-2021, COLT-2021, IJCAI-2021, AISTATS-2021, ICLR-2021, NeurIPS-2020, UAI-2020, ICML-2020, IJCAI-2020, AISTATS-2020, IJCAI-2019, ICML-2019, AISTATS-2019, NeurIPS-2018, ICML-2018, AISTATS-2018, UAI-2017, ICML-2017, AISTATS-2017, UAI-2016.

Reviewing Grants:

• European Research Council (ERC),
• Swiss National Science Foundation (SNSF),
• Israel Science Foundation (ISF).

Programme Director:

• MSc Data Science.

Senior Associate Editor:

• ACM Transactions on Probabilistic Machine Learning.

Associate Editor:

• Mathematical Foundations of Computing.

Editorial Board Member:

• Journal of Machine Learning Research.

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Organizing (research showcase):

• LSE Statistics Research Showcase. Apr. 7-8, 2025.
• LSE Statistics Research Showcase. June 20-21, 2024.
• LSE Statistics Research Showcase. June 5-6, 2023.
• LSE Statistics Research Showcase. June 14-15, 2022.

Organizing (seminar):

• Data Science Seminars @ Department of Statistics, LSE, 2021-2023.
• Statistics Seminars (CREST-CMAP; 2020-2021):
  • Co-organizers: Cristina Butucea, Alexandre Tsybakov, Karim Lounici.
  • upcoming talks, archive, old archive.
• Machine Learning External Seminars @ CMAP, Ecole Polytechnique, 2017-2021.
• Machine Learning External Seminars @ Gatsby Unit, UCL, 2014-2016.

Organizing (workshop, conference):

• Uncertainty in multivariate, non-Euclidean, and functional spaces: theory and practice workshop [May 6-9, 2025]:
  • @ Representing, calibrating & leveraging prediction uncertainty from statistics to machine learning (Isaac Newton Institute),
  • co-organizers: Alessandra Menafoglio, David Ginsbourger, Florence d’Alché-Buc, Judith Rousseau, Neil Lawrence.
• StressTest-2020 workshop:
  • Co-organizers: Stefano De Marco, Emmanuel Gobet.
• Learning on Distributions, Functions, Graphs and Groups workshop @ NIPS-2017.
  • Co-organizers: Florence d'Alché-Buc, Krikamol Muandet, Bharath K. Sriperumbudur.
• Adaptive and Scalable Nonparametric Methods in Machine Learning workshop @ NIPS-2016.
  • Co-organizers: Aaditya Ramdas, Bharath K. Sriperumbudur, Han Liu, John Lafferty, Mladen Kolar, Samory Kpotufe.
• Modern Nonparametrics 3: Automating the Learning Pipeline workshop @ NIPS-2014.
  • Co-organizers: Arthur Gretton, Mladen Kolar, Samory Kpotufe, Han Liu, Andrew G. Wilson, Eric Xing, Le Song.
• I served as a workflow chair @ AISTATS-2016 with Rodolphe Jenatton.

Organizing (journal club, group meeting):

• Machine Learning Journal Club, Stress Test (Chair)-related seminars, SIMPAS Group Meetings @ CMAP.