Ising Models with Latent Conditional Gaussian Variables. - Frank Nussbaum; Joachim Giesen (ALT, 2019)

Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization. - Joachim Giesen; Frank Nussbaum; Christopher Schneider (IJCAI, 2019)

Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models. - Frank Nussbaum; Joachim Giesen (IJCAI, 2020)

Pairwise sparse + low-rank models for variables of mixed type. - Frank Nussbaum; Joachim Giesen (J. Multivar. Anal., 2020)

Method of Moments for Topic Models with Mixed Discrete and Continuous Features. - Joachim Giesen; Paul Kahlmeyer; Sören Laue; Matthias Mitterreiter; Frank Nussbaum; Christoph Staudt; Sina Zarrieß (IJCAI, 2021)

Robust principal component analysis for generalized multi-view models. - Frank Nussbaum; Joachim Giesen (UAI, 2021)

Leveraging the Wikipedia Graph for Evaluating Word Embeddings. - Joachim Giesen; Paul Kahlmeyer; Frank Nussbaum; Sina Zarrieß (IJCAI, 2022)

Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks. - Frank Nussbaum; Jakob Gawlikowski; Julia Niebling (NeurIPS, 2022)

Mixed membership Gaussians. - Joachim Giesen; Paul Kahlmeyer; Sören Laue; Matthias Mitterreiter; Frank Nussbaum; Christoph Staudt (J. Multivar. Anal., 2023)