Frank Nussbaum

According to our database, Frank Nussbaum authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Mixed membership Gaussians.

Joachim Giesen, Paul Kahlmeyer, Sören Laue, Matthias Mitterreiter, Frank Nussbaum, Christoph Staudt

J. Multivar. Anal., May, 2023

2022

Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks.

Frank Nussbaum, Jakob Gawlikowski, Julia Niebling

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Leveraging the Wikipedia Graph for Evaluating Word Embeddings.

Joachim Giesen, Paul Kahlmeyer, Frank Nussbaum, Sina Zarrieß

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Robust principal component analysis for generalized multi-view models.

Frank Nussbaum, Joachim Giesen

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Pairwise sparse + low-rank models for variables of mixed type.

Frank Nussbaum, Joachim Giesen

J. Multivar. Anal., 2020

Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models.

Frank Nussbaum, Joachim Giesen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization.

Joachim Giesen, Frank Nussbaum, Christopher Schneider

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Ising Models with Latent Conditional Gaussian Variables.

Frank Nussbaum, Joachim Giesen

Proceedings of the Algorithmic Learning Theory, 2019