**Local graph clustering :**

We consider the problem of local graph clustering where the aim is to discover the local cluster corresponding to a point of interest. We propose a new random walk model that has less tendency to jump between the clusters.

**Multitask Learning for Brain-Computer Interfaces :**

Brain-computer interfaces (BCIs) are limited in their applicability in everyday settings by the current necessity of calibration prior to actual use of the BCI. In this work,we utilize the framework of multitask learning to construct a BCI that can be used without any subject-specic calibration process.

Code:

Matlab code for *JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010*, MIT Press, Cambridge, MA, USA. and Y. , "Multitask Learning for Brain-Computer Interfaces",

8 results
(BibTeX)

**Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines**
*Proceedings of the 3rd ACM conference on Learning @ Scale*, pages: 369-378, (Editors: Haywood, J. and Aleven, V. and Kay, J. and Roll, I.), ACM, L@S, 2016, (An earlier version of this paper had been presented at the ICML 2015 workshop for Machine Learning for Education.) (conference)

**Analysis of Distance Functions in Graphs**
University of Hamburg, Germany, University of Hamburg, Germany, 2014 (phdthesis)

**Density estimation from unweighted k-nearest neighbor graphs: a roadmap**
In *Advances in Neural Information Processing Systems 26*, pages: 225-233, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Shortest path distance in random k-nearest neighbor graphs**
In *Proceedings of the 29th International Conference on Machine Learning*, International Machine Learning Society, International Conference on Machine Learning (ICML), 2012 (inproceedings)

**Phase transition in the family of p-resistances**
In *Advances in Neural Information Processing Systems 24*, pages: 379-387, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Multi-task Learning for Zero Training Brain-Computer Interfaces**
4th International BCI Meeting, June 2010 (poster)

**Multitask Learning for Brain-Computer Interfaces**
In *JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010*, pages: 17-24, (Editors: Teh, Y.W. , M. Titterington), JMLR, Cambridge, MA, USA, Thirteenth International Conference on Artificial Intelligence and Statistics , May 2010 (inproceedings)

**Multi-agent random walks for local clustering**
In *Proceedings of the IEEE International Conference on Data Mining (ICDM 2010)*, pages: 18-27, (Editors: Webb, G. I., B. Liu, C. Zhang, D. Gunopulos, X. Wu), IEEE, Piscataway, NJ, USA, IEEE International Conference on Data Mining (ICDM), December 2010 (inproceedings)