Zoltán Szabó: stat.ML moderator, reviewing grants, (senior) area chair, program chair, management committee member, statistics advisory board member, associate editor, editorial board member, reviewing for conferences/books, organizing activity (workshop, journal club, seminar, conference).

stat.ML moderator on arXiv:

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

Reviewing Grants:

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

Senior Area Chair (SAC):

• NeurIPS-2019.

Area Chair (AC):

• 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.

Program Chair:

• Data Science Summer School (DS³-2020):
  • Co-organizers: Aldjia Mazari, Bertrand Thirion, Emmanuel Gobet, Erwan Le Pennec, Jasmyn Scaramella.
• DS³-2019:
  • Co-organizers: Aldjia Mazari, Anastasiia Nitavskyi, Aurélie Coen, Bertrand Thirion, Charlotte Renauld, Elena Carvajal, Emmanuel Bacry.
• DS³-2018:
  • Co-organizers: Aldjia Mazari, Charlotte Renauld, Emmanuel Bacry, Erwan Scornet, Maud Cadiz-Pena, Nozha Boujemaa, Viviane Hoang.
• DS³-2017:
  • Co-organizers: Aldjia Mazari, Éric Moulines, Erwan Scornet, Emmanuel Bacry.

Management Committee Member:

• DSI Management Committee.

Advisory Board Member:

• arXiv Statistics Advisory Committee Member.

Associate Editor:

• Mathematical Foundations of Computing.

Editorial Board Member:

• Journal of Machine Learning Research.

Program Committee Member:

• ICML-2019 Workshops.

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.

Reviewing Books:

• Cambridge University Press.

Organizing (seminar):

• Data Science Seminars @ Department of Statistics, LSE (local-, departmental archive).
• Statistics Seminars (CREST-CMAP):
  • Co-organizers: Cristina Butucea, Alexandre Tsybakov, Karim Lounici.
  • upcoming talks, archive, old archive.
• Machine Learning External Seminars @ CMAP.
• Machine Learning External Seminars @ Gatsby Unit.

Organizing (workshop, conference):

• Kernel Methods for Structured Data and Distributions workshop @ DALI-2022:
  • Co-organizer: Alessandro Rudi.
• 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.