Research Seminar "Machine Learning Theory"

This is the research seminar by Ulrike's group.

When and where

Each thursday 14:00 - 15:00, Seminar room 2rd floor, MvL6.

What

Most sessions take place in form of a reading group: everybody reads the assigned paper before the meeting. Then we jointly discuss the paper in the meeting. Sometimes we also have talks by guests or members of the group.

Who

PhD students and researchers of the University of Tübingen. We do not mind people dropping in and out depending on whether they find the current session interesting or not.

Upcoming meetings

  • 24.4.2025 no reading group (unless somebody suggests a nice paper quickly)
  • 1.5. no reading group, public holiday
  • 8.5.2025 ulrike: I would like to read up on e-values. As starting point I suggest this paper (unless somebody finds an introductory paper that is better suited):
    Shafer 2020, Testing by betting: A strategy for statistical and scientific communication link.
    For later, here is a whole book draft (we might perhaps read a few sections): Hypothesis Testing with E-value, Aaditya Ramdas and Ruodu Wang link
  • 15.5.2025 tba link
  • 22.5.2025 tba (ulrike in tue) link
  • 29.5.2025 tba link
  • 5.6.2025 tba link
  • 12.6.2025 tba link
  • 19.6.2025 tba link
  • 26.6.2025 tba link

Past meetings

Listed here.

Suggested papers for future meetings

Feel free to make suggestions!
If you do, please (i) try to select short conference papers rather than 40-page-journal papers; (ii) please put your name when entering suggestions; it does not mean that you need to present it, but then we can judge where it comes from; (iii) Please provide a link, not just a title.
  • Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?, ICLR 2025, link (Gunnar)
  • Circuit Tracing: Revealing Computational Graphs in Language Models, link (Gunnar)
  • How to Probe: Simple Yet Effective Techniques for Improving Post-Hoc Explanations, ICLR 2025, link (Gunnar)
  • Unifying Feature-Based Explanations with Functional ANOVA and Cooperative GAme Theory, AISTATS 2025, link (Gunnar)
  • Paper discussion (who?) Chain of Log-Concave Markov Chains, Saeed Saremi, Ji Won Park, Francis Bach, 2024 pdf
  • Trade-off Between Efficiency and Consistency for Removal-based Explanations, Neurips 2023 link (Ulrike)
  • Robust Explanation for Free or At the Cost of Faithfulness. ICML 2023. link (Ulrike)
  • Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning link (Ulrike)
  • link