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# Research

## Publications

### Journal Articles

**Scalable Bayesian p-Generalized Probit and Logistic Regression**
Zeyu Ding, Katja Ickstadt, Alexander Munteanu, Simon Omlor
*Advances in Data Analysis and Classification*, June 2024
[Paper](link) | [Code](link)

**Bayesian analysis for dimensionality and complexity reduction**
Zeyu Ding, Katja Ickstadt, Alexander Munteanu
*Machine Learning under Resource Constraints - Applications, deGruyter, Berlin*, Jan 2023, 58-70

## Ongoing Research

**Efficiency coresets techniques for multivariate conditional transformation models**
*Planning to submit to Journal of Machine Learning Research*
With Nadja Klein, Katja Ickstadt, Alexander Munteanu

## Recent Talks

- **17th International Conference on Computational and Methodological Statistics**
Berlin, Germany, December 2023
Topic: Efficiency coresets techniques for multivariate conditional transformation models

- **16th International Conference on Computational and Methodological Statistics**
KCL, London, UK, December 2022
Topic: Scalable Bayesian p-Generalized Probit and Logistic Regression via Coresets

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