Zoltán Szabó: stat.ML moderator, reviewing grants, (senior) area chair, Turing academic liaison, programme director of MSc data science, program chair, management committee member, statistics advisory board member, (senior) associate editor, editorial board member, reviewing for conferences/books, organizing activity (workshop, research showcase, journal club, seminar, conference).

stat.ML moderator on arXiv:

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

Reviewing Grants:

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

Senior Area Chair (SAC):

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

Area Chair (AC):

• 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.

Turing Academic Liaison

Programme Director:

• MSc Data Science.

Program Chair:

• Data Science Summer School: DS³-2020, DS³-2019, DS³-2018, DS³-2017.

Management Committee Member:

• DSI Management Committee.

Advisory Board Member:

• arXiv Statistics Advisory Committee Member.

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 (recent):

• W1 Uncertainty in multivariate, non-Euclidean, and functional spaces: theory and practice [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, Richard Nickl.
• LSE Statistics Research Showcase. June 20-21, 2024.

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Organizing (seminar, past):

• LSE Statistics Research Showcase. June 5-6, 2023.
• LSE Statistics Research Showcase. June 14-15, 2022.
• 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):

• 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.

Reviewing for Conferences:

• ISIT-2021, ICANN-2019, ICLR-2019, COLT-2018, ICLR-2018, COLT-2017, NIPS-2017, NIPS-2016, ICML-2016, NIPS-2015, NIPS-2014, ICML-2012, LVA/ICA-2012, IJCAI-2011, IJCNN-2011, ECCS-2011, EUSIPCO-2011, ECCS-2009.

Program Committee Member:

• ICML-2019 Workshops.

Reviewing Books:

• Cambridge University Press.