When Friday, 27th of September
Where Room R6-66, Congress Centre U Hájků, Prague

Updated Schedule!

10:55 - 11:35 Morten Mørup Tensor Decompositions for Machine Learning
and the Modelling of Neuroimaging Data
11:35 - 12:15 Lieven de Lathauwer Advances in (Numerical) Linear Algebra
12:15 - 13:45 Lunch Break
13:45 - 14:25 Taylan Cemgil Probabilistic Latent Tensor Factorization with
Applications to Audio Processing and Source Separation
14:25 - 14:45 Denis Krompass Non-Negative Tensor Factorization with RESCAL
14:45 - 15:00 Spotlight Talks
15:00 - 15:45 Poster Session and Coffee Break
15:45 - 16:25 Steffen Rendle Factorization Machines
16:25 - 17:05 Pauli Miettinen Boolean Tensor and Matrix Factorization
17:05 - 17:15 Discussion

Workshop Description

Tensors, as generalizations of vectors and matrices, have become increasingly popular in different areas of machine learning and data mining, where they are employed to approach a diverse number of difficult learning and analysis tasks. Prominent examples include learning on multi-relational data and large-scale knowledge bases, recommendation systems, computer vision, mining boolean data, neuroimaging or the analysis of time-varying networks. The success of tensors methods is strongly related to their ability to efficiently model, analyse and predict data with multiple modalities. To address specific challenges and problems, a variety of methods has been developed in different fields of application. This workshop should serve as a basis for an interdisciplinary exchange of methods, ideas and techniques, with the goal to develop a deeper understanding of tensor methods in machine learning, further advance existing approaches and enable new approaches to important problems. A particular focus of this workshop is to uncover underlying principles in tensor methods, their applications and associated problems. The workshop is intended for researchers in the machine learning, data minining and tensor communities to discuss novel methods and applications as well as theoretical advances.

The workshop consists of contributed talks, poster sessions and a number of invited talks which will cover important work and recents developments in tensor methods. Furthermore, the workshop will include open discussion sessions to encourage the exchange of ideas and the development of a common understanding of problems and methods among the participants of the workshop.

Call for Papers

We invite the submission of short and regular papers to the workshop. Submitted papers should be at most 5 (extended abstract) or 10 (regular) pages long and formatted according to the Springer LNAI guidelines.

All submitted manuscripts will be subject to peer reviews by members of the program committee. Selected papers will be presented as full-length or spotlight talks during the morning and afternoon sessions of the workshop. All authors of selected papers are also invited to participate in poster sessions. Topics of interest include, but are not limited to

  • Theoretical Analysis Statistical analysis and learning theory related to tensor methods, factorizations or multi-way analysis.
  • Algorithms and Methods Novel techniques and methods for tensor factorization or tensor completion, such as new factorization models, loss functions or regularization methods, probabilistic/Bayesian approaches etc. We also encourage submissions approaching large scale or distributed problems.
  • Applications and Empirical Studies Novel applications of tensor methods in machine learning and statistics. We also encourage submissions that provide new insight into tensor methods through empirical studies.
  • Related Learning Methods Related techniques and methods in machine learning such as matrix factorizations that can advance the understanding and versatility of tensor methods.
We especially encourage submissions that advance the understanding of tensor methods in machine learning through an abstraction of the underlying methods and problems for obtaining new insight across different fields. We also encourage submissions reporting open problems, new directions and work in progress, since the workshop is also intended as a forum for discussions.

Paper Submission

To submit your manuscript via EasyChair, please follow the link

Submit Your Manuscript

Important Dates

For paper submission, please consider the following deadlines

  • Paper Submission (Extended!) Friday, July 5th, 2013
  • Acceptance Notification Friday, July 19th, 2013
  • Camera-Ready Paper Submission Friday, August 2nd, 2013



Program Committee

Invited Talks

Accepted Papers

This workshop has been kindly supported by

Further Resources