Journal Papers

Optimizing for Measure of Performance in Max-Margin Parsing. (2019)
A. Bauer, S. Nakajima, N. Görnitz, K.-R. Müller, IEEE Transactions on Neural Networks and Learning Systems, 1-5.

Efficient Exact Inference with Loss Augmented Objective in Structured Learning. (2016)
A. Bauer, S. Nakajima, K.-R. Müller, IEEE Transactions on Neural Networks and Learning Systems 28 (11), 2566-2579.

Accurate Maximum-Margin Training for Parsing with Context-Free Grammars. (2015)
A. Bauer, M. Braun, K.-R. Müller, IEEE Transactions on Neural Networks and Learning Systems 28 (1), 44-56.

Efficient Algorithms for Exact Inference in Sequence Labeling SVMs. (2013)
A. Bauer, N. Görnitz, F. Biegler, K.-R. Müller, M. Kloft, IEEE Transactions on Neural Networks and Learning Systems 25 (5), 870-881.

Conference Papers

Towards Best Practice in Explaining Neural Network Decisions with LRP. (2020)
M. Kohlbrenner, A. Bauer, S. Nakajima, A. Binder, W. Samek, S. Lapuschkin, International Joint Conference on Neural Networks (IJCNN), 1-7

Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs. (2019)
A. Bauer, S. Nakajima, N. Görnitz, K.-R. Müller, AISTATS 89, 1696--1703.

Minimizing Trust Leaks for Robust Sybil Detection. (2017)
J. Höner, S. Nakajima, A. Bauer, K.-R. Müller, N. Görnitz, Proceedings of the 34th International Conference on Machine Learning-Volume 70, 1520-1528.

Preprints

Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies. (2022)
A. Bauer, S. Nakajima, arXive:1912.12090.

Thesis

Universal Exact Algorithm for Globally Augmented MAP Inference in Structured Prediction. (2017)Alexander Bauer