7 Papers accepted at ICML 2026!

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We’re thrilled to share that our team is involved in seven papers accepted at ICML (International Conference on Machine Learning) this year—what an exciting milestone! Some of these projects were driven by our team, while others grew out of close collaborations with amazing research partners around the world. Together, they highlight both our leadership and our strong international collaborations.

Here’s a quick look at the accepted papers:

SurvDiff: A diffusion model for generating synthetic data in survival analysis (spotlight)
with Marie Brockschmidt, Maresa Schröder, Stefan Feuerriegel

Nonparametric LLM evaluation from preference data
with Dennis Frauen, Athiya Deviyani, Mihaela van der Schaar, Stefan Feuerriegel

DeepBlip: Estimating conditional average treatment effects over time
with Haorui Ma, Dennis Frauen, Stefan Feuerriegel

Rank-Learner: Orthogonal ranking of treatment effects
with Henri Arno, Dennis Frauen, Emil Javurek, Thomas Demeester, Stefan Feuerriegel

Continual learning of domain-invariant representations
with Pascal Janetzky, Prof. Dr. Tobias Schlagenhauf, Stefan Feuerriegel

Frequentist consistency of prior-data fitted networks for causal estimation
with Valentyn Melnychuk, Vahid Balazadeh, Stefan Feuerriegel, Rahul G. Krishnan

ProbeLLM: Automating principled diagnosis of LLM failures
with Yue Huang, Zhengzhe Jiang, Yuchen Ma, Yu Jiang, Xiangqi Wang, Yujun Zhou, Yuexing Hao, Kehan Guo, Pin-Yu Chen, Stefan Feuerriegel, Xiangliang Zhang

Huge congratulations to all authors and collaborators! Our team members would be presenting their work in the Conference to be held in Seoul, South Korea.