Alexander Bauer

According to our database, Alexander Bauer authored at least 10 papers between 2014 and 2025.

Collaborative distances:

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

2025

Noise & pattern: identity-anchored Tikhonov regularization for robust structural anomaly detection.

Alexander Bauer, Klaus-Robert Müller

CoRR, November, 2025

2020

Optimizing for Measure of Performance in Max-Margin Parsing.

Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller

IEEE Trans. Neural Networks Learn. Syst., 2020

Towards Best Practice in Explaining Neural Network Decisions with LRP.

Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Worst-Case Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies.

Alexander Bauer, Shinichi Nakajima

CoRR, 2019

Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs.

Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Universal exact algorithm for globally augmented MAP inference in structured prediction.

Alexander Bauer

PhD thesis, 2017

Efficient Exact Inference With Loss Augmented Objective in Structured Learning.

Alexander Bauer, Shinichi Nakajima, Klaus-Robert Müller

IEEE Trans. Neural Networks Learn. Syst., 2017

Accurate Maximum-Margin Training for Parsing With Context-Free Grammars.

Alexander Bauer, Mikio L. Braun, Klaus-Robert Müller

IEEE Trans. Neural Networks Learn. Syst., 2017

Minimizing Trust Leaks for Robust Sybil Detection.

János Höner, Shinichi Nakajima, Alexander Bauer, Klaus-Robert Müller, Nico Görnitz

Proceedings of the 34th International Conference on Machine Learning, 2017

2014

Efficient Algorithms for Exact Inference in Sequence Labeling SVMs.

Alexander Bauer, Nico Görnitz, Franziska Biegler, Klaus-Robert Müller, Marius Kloft

IEEE Trans. Neural Networks Learn. Syst., 2014