Efficient Algorithms for Exact Inference in Sequence Labeling SVMs. - Alexander Bauer 001; Nico Görnitz; Franziska Biegler; Klaus-Robert Müller; Marius Kloft (IEEE Trans. Neural Networks Learn. Syst., 2014)

Minimizing Trust Leaks for Robust Sybil Detection. - János Höner; Shinichi Nakajima; Alexander Bauer 001; Klaus-Robert Müller; Nico Görnitz (ICML, 2017)

Accurate Maximum-Margin Training for Parsing With Context-Free Grammars. - Alexander Bauer 001; Mikio L. Braun; Klaus-Robert Müller (IEEE Trans. Neural Networks Learn. Syst., 2017)

Efficient Exact Inference With Loss Augmented Objective in Structured Learning. - Alexander Bauer 001; Shinichi Nakajima; Klaus-Robert Müller (IEEE Trans. Neural Networks Learn. Syst., 2017)

Universal exact algorithm for globally augmented MAP inference in structured prediction. - Alexander Bauer 001 (2017)

Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs. - Alexander Bauer 001; Shinichi Nakajima; Nico Görnitz; Klaus-Robert Müller (AISTATS, 2019)

Worst-Case Polynomial-Time Exact MAP Inference on Discrete Models with Global Dependencies. - Alexander Bauer 001; Shinichi Nakajima (CoRR, 2019)

Towards Best Practice in Explaining Neural Network Decisions with LRP. - Maximilian Kohlbrenner; Alexander Bauer 001; Shinichi Nakajima; Alexander Binder; Wojciech Samek; Sebastian Lapuschkin (IJCNN, 2020)

Optimizing for Measure of Performance in Max-Margin Parsing. - Alexander Bauer 001; Shinichi Nakajima; Nico Görnitz; Klaus-Robert Müller (IEEE Trans. Neural Networks Learn. Syst., 2020)