Zeyu Ding

According to our database, Zeyu Ding authored at least 4 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Scalable Learning of Multivariate Distributions via Coresets.

Zeyu Ding, Katja Ickstadt, Nadja Klein, Alexander Munteanu, Simon Omlor

CoRR, March, 2026

Scalable Bayesian p-generalized probit and logistic regression.

Zeyu Ding, Simon Omlor, Katja Ickstadt, Alexander Munteanu

Adv. Data Anal. Classif., March, 2026

Scalable bayesian methods for large-scale data: Data reduction and efficient computation of distribution metrics.

Zeyu Ding

PhD thesis, 2026

2022

Bayesian Analysis for Dimensionality and Complexity Reduction.

Zeyu Ding, Katja Ickstadt, Alexander Munteanu

Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022