About

I am a Ph.D. student at ETH Zurich in the Statistical Machine Learning Group, advised by Prof. Fanny Yang. During Fall 2024, I will be a long-term visitor at the Simons Institute for the Theory of Computing.

My current interests revolve around theory of out-of-distribution generalization in machine learning. Additionally, I am broadly interested in statistical learning theory, causal inference and information theory.

Before joining ETH Zurich, I completed my master's in mathematics as part of the TopMath program at Technical University of Munich. I completed a bachelor's degree in mathematics at LMU Munich.

News

Publications and preprints

  • J. Kostin, N. Gnecco, and F. Yang. Achievable distributional robustness when the robust risk is only partially identified.
  • J. Kostin, F. Krahmer, and D. Stöger. How robust is randomized blind deconvolution via nuclear norm minimization against adversarial noise? [preprint]
  • M. Elminshawi, J. Kostin, E. A. P. Habets, and N. K. Sharma. Attended Talker Decoding Exclusively From Listening-State EEG.

Talks

  • Robustness of Low Rank Matrix Recovery under Adversarial Noise. 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics, Dresden, 02.06.2023.
  • Robustness Guarantees for Blind Deconvolution via Nuclear Norm Minimization. KU-LMU-TUM Joint Seminar on Mathematics of Data Science, Munich, 07.11.2022.
  • Convex Geometry Based Guarantees for Low-rank Matrix Recovery with Adversarial Noise. Approximation and geometry in high dimensions 2022, Bedlewo, Poland.

Teaching

In the past, I have assisted in teaching the following courses:

  • Spring Semester 2024: Introduction to Machine Learning (ETH Zurich, Prof. Fanny Yang and Prof. Fernando Perez-Cruz)
  • Fall Semester 2023/24: Guarantees for Machine Learning (ETH Zurich, Prof. Fanny Yang)
  • Winter Semester 2021/22: Linear Algebra for Electrical Engineering (TUM, Prof. Claudia Scheimbauer)
  • Summer Semester 2020: Multivariable Calculus and Topology (LMU, Prof. Peter Müller)
  • Winter Semester 2019/20: Measure Theory (LMU, Prof. Bernhard Leeb)
  • Summer Semester 2019: Calculus and Topology (LMU, Prof. Bernhard Leeb)

Short CV

You can download a copy of my CV here:

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