Lucas Kock

According to our database, Lucas Kock authored at least 5 papers between 2022 and 2026.

Collaborative distances:

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

2026

Scalable variational inference for multinomial probit models under large choice sets and sample sizes.

Gyeongjun Kim, Yeseul Kang, Lucas Kock, Prateek Bansal, Keemin Sohn

Stat. Comput., February, 2026

2025

Truly Multivariate Structured Additive Distributional Regression.

Lucas Kock, Nadja Klein

J. Comput. Graph. Stat., 2025

2024

Dropout Regularization in Extended Generalized Linear Models Based on Double Exponential Families.

Benedikt Lütke Schwienhorst, Lucas Kock, Nadja Klein, David J. Nott

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models.

Lucas Kock, Nadja Klein, David J. Nott

Stat. Comput., 2023

2022

Variational inference and sparsity in high-dimensional deep Gaussian mixture models.

Lucas Kock, Nadja Klein, David J. Nott

Stat. Comput., 2022