Fabian Spaeh

A picture of me

Fourth-year PhD student in computer science at Boston University advised by Alina Ene. I am broadly interested in optimization and currently working on learning-augmented algorithms for online allocation problems, submodular maximization, and opinion dynamics. Previously, I completed a bachelor’s and master’s degree in computer science at the University of Konstanz. You can contact me by email via fspaeh at bu dot edu, take a look at my CV, or follow me on Github.

Publications and Manuscripts

  1. Spaeh and C. Tsourakakis, “Learning mixtures of continuous-time markov chains.” In submission.
  1. Spaeh, A. Ene, and H. L. Nguyen, “Online and streaming algorithms for constrained k-submodular maximization.” In submission, doi: 10.48550/arXiv.2305.16013.
  1. Spaeh and A. Ene, “Online ad allocation with predictions.” NeurIPS 2023, doi: 10.48550/arXiv.2302.01827.
  1. Spaeh and C. Tsourakakis, “Learning mixtures of markov chains with quality guarantees.” WWW 2023, doi: 10.1145/3543507.3583524.
  1. Spaeh and S. Kosub, “Global evaluation for decision tree learning.” arXiv, 2022, doi: 10.48550/ARXIV.2208.04828.
  1. Hepp, F. Spaeh, A. Schönhals, P. Ehret, and B. Gipp, “Exploring potentials and challenges of blockchain-based public key infrastructures.” IEEE INFOCOM Workshops, 2019.


In 2022, I received a Teaching Fellow Excellence Award from the Computer Science Department.



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