Maximilian Nickel

Research Interests

Machine Learning
Statistical Relational Learning
Tensor Factorizations
Machine Learning on Large-Scale Graphs
Semantic Web and Linked Data
Metric and Manifold Learning

Code & Data

For now, code for learning algorithms (e.g. RESCAL) as well as various tools for machine learning can be requested via Email. I am working on making them soon available under open-source licences.
In the mean time please feel free to contact me about the code.

Get code & data » (Coming soon)

Contact

Publications

Conference Papers

Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel
Factorizing YAGO: Scalable Machine Learning for Linked Data
in Proceedings of the 21st International World Wide Web Conference, 2012, Lyon, France

PDF, Slides , BibTex

@inproceedings{Nickel:2012:FYS:2187836.2187874,
 author = {Nickel, Maximilian and Tresp, Volker and Kriegel, Hans-Peter},
 title = {Factorizing YAGO: scalable machine learning for linked data},
 booktitle = {Proceedings of the 21st international conference on World Wide Web},
 series = {WWW '12},
 year = {2012},
 isbn = {978-1-4503-1229-5},
 location = {Lyon, France},
 pages = {271--280},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/2187836.2187874},
 doi = {10.1145/2187836.2187874},
 acmid = {2187874},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {large-scale machine learning, linked open data, relational learning, semantic web, tensor factorization},
}

- Xueyan Jiang, Yi Huang, Maximilian Nickel, Volker Tresp
- Combining Information Extraction, Deductive Reasoning and Machine Learning for Relation Prediction
- in Proceedings of the 9th Extended Semantic Web Conference, 2012
- PDF
- Xueyan Jiang, Volker Tresp, Yi Huang, Maximilian Nickel, Hans-Peter Kriegel
- Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual Information
- Proceedings of the ECML/PKDD, 2012
- PDF

Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel
A Three-Way Model for Collective Learning on Multi-Relational Data
in Proceedings of the 28th International Conference on Machine Learning, 2011 , Bellevue, WA, USA

PDF, Video, Slides, BibTex

@InProceedings{ICML2011Nickel_438,
  author =    {Maximilian Nickel and Volker Tresp and Hans-Peter Kriegel},
  title =     {A Three-Way Model for Collective Learning on Multi-Relational Data},
  booktitle = {Proceedings of the 28th International Conference on Machine Learning (ICML-11)},
  series =    {ICML '11},
  year =      {2011},
  editor =    {Lise Getoor and Tobias Scheffer},
  location =  {Bellevue, Washington, USA},
  isbn =      {978-1-4503-0619-5},
  month =     {June},
  publisher = {ACM},
  address =   {New York, NY, USA},
  pages=      {809--816},
}

- Maximilian Nickel, Volker Tresp
- Learning Taxonomies from Multi-Relational Data via Hierarchical Link-Based Clustering
- in NIPS 2011 Workshop - Learning Semantics, 2011 , Granada, Spain
- Yi Huang, Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel
- A Scalable Kernel Approach to Learning in Semantic Graphs with Applications to Linked Data
- in Proceedings of the 1st Workshop on Mining the Future Internet, 2010
- Maximilian Nickel, Volker Tresp
- Three-Way DEDICOM for Relational Learning
- in NIPS 2010 Workshop - Tensors, Kernels and Machine Learning, 2010 , Whistler, Canada

Journal Papers

- Yi Huang, Volker Tresp, Maximilian Nickel, Achim Rettinger, and Hans-Peter Kriegel
- A Scalable Approach for Statistical Learning in Semantic Graphs
- Semantic Web – Interoperability, Usability, Applicability (SWJ), 2013

Book Chapters

- Volker Tresp, Yi Huang, and Maximilian Nickel
- Querying the Web with Statistical Machine Learning
- To be published as a chapter in a book reviewing the results of the THESEUS project, 2013