Saarland University, Machine Learning Group, Fak. 6 - Mathematik und Informatik, Campus E1 1, 66123 Saarbücken, Germany     

Machine Learning Group
Department of Mathematics and Computer Science - Saarland University

SYAMA SUNDAR RANGAPURAM

Ph.D. Student,
Faculty of Mathematics and Computer Science,
Saarland University

Address:
Building E 1 1, Room 227
Universität des Saarlandes
Postfach 15 11 50
D - 66041 Saarbrücken
Germany

phone: +49 (0) 681 302 57332
  srangapu@mpi-inf.mpg.de

 

RESEARCH INTERESTS

Since August 2010 I am a Ph.D. student in the Machine Learning Group of Prof. Hein. Prior to this, I received my M.Sc. degree in Computer Science in 2010 from Saaralnd University. My general research interests are in machine learning and optimization. Currently I am working on developing graph-based methods for unsupervised and semi-supervised learning problems. I am also interested in applying my work to solve interesting problems in image processing and information retrieval.

 

 

PUBLICATIONS

  • S. Rangapuram, P. K. Mudrakarta and M. Hein
    Tight continuous relaxation of the balanced k-cut problem
    NIPS 2014. PDF  (Supplementary material (Long version): PDF ) - (code )
  • M. Hein, S. Setzer, L. Jost, and S. Rangapuram,
    The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
    accepted as spotlight at NIPS 2013 (acceptance rate < 5%) PDF  (Supplementary material (Long version): PDF ) (code )
  • S. Rangapuram, T. Bühler and M. Hein
    Towards Realistic Team Formation in Social Networks based on Densest Subgraphs
    In Proc. 22nd International World Wide Web Conference (WWW 2013), 1077-1088, 2013
    PDF  (code) 
  • T. Bühler, S. Rangapuram, S. Setzer and M. Hein,
    Constrained fractional set programs and their application in local clustering and community detection
    In Proc. 30th International Conference on Machine Learning (ICML 2013), JMLR W&CP 28 (1): 624-632, 2013
    PDF  (Supplementary material: PDF ) (code) 
  • S. Rangapuram and M. Hein,
    Constrained 1-Spectral Clustering,
    AISTATS 2012, JMLR W&CP 22: 1143-1151 PDF  (Supplementary material: PDF ) (code)