Saarland University, Machine Learning Group, Fak. MI - Mathematik und Informatik, Campus E1 1, 66123 Saarbrücken, Germany
VIKRAM TANKASALI
Research Scientist / Ph.D. Student,
Faculty of Mathematics and Computer Science,
Saarland University
Address:
Building E 1 1, Room 229
Universität des Saarlandes
Postfach 15 11 50
D - 66041 Saarbrücken
Germany
phone: +49 (0) 681 302 57324
ABOUT ME
I am currently a Research Scientist / PhD student (Jun 2013 - ) in the Machine Learning group. My advisor is Prof. Dr. Matthias Hein. Prior to this, I obtained my Masters degree in Computer Science from the Indian Institute of Science, Bangalore. My research interests includes problems related to convex optimization and machine learning. I am also interested in applying machine learning techniques to understand web data. I have worked on online ads as software engineer at Microsoft and on e-learning project as research engineer at IBM Research Lab.
PUBLICATIONS
- Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya, Aharon Ben-Tal:
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions.
NIPS 2010: 1198-1206
- Srivatsan Laxman, Vikram Tankasali, Ryen W. White:
Stream prediction using a generative model based on frequent episodes in event sequences.
KDD 2008: 453-461
- Vikram Tankasali, Srivatsan Laxman:
PATENT: Future data event prediction using a generative model
(8126891) 2012
- Vikram Tankasali, Kalyan Kumar Asangi:
Method apparatus and device for bearing VPLS service over IP backbone.
(WO/2007/076692) 2008
Saarland University, Machine Learning Group, Fak. MI - Mathematik und Informatik, Campus E1 1, 66123 Saarbücken, Germany
VIKRAM TANKASALI
Research Scientist / Ph.D. Student,
Faculty of Mathematics and Computer Science,
Saarland University
Address:
Building E 1 1, Room 229
Universität des Saarlandes
Postfach 15 11 50
D - 66041 Saarbrücken
Germany
phone: +49 (0) 681 302 57324
vikram@cs.uni-saarland.de
ABOUT ME
I am currently a Research Scientist / PhD student (Jun 2013 - ) in the Machine Learning group. My advisor is Prof. Dr. Matthias Hein. Prior to this, I obtained my Masters degree in Computer Science from the Indian Institute of Science, Bangalore. My research interests includes problems related to convex optimization and machine learning. I am also interested in applying machine learning techniques to understand web data. I have worked on online ads as software engineer at Microsoft and on e-learning project as research engineer at IBM Research Lab.
PUBLICATIONS
- Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya, Aharon Ben-Tal:
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions.
NIPS 2010: 1198-1206
- Srivatsan Laxman, Vikram Tankasali, Ryen W. White:
Stream prediction using a generative model based on frequent episodes in event sequences.
KDD 2008: 453-461
- Vikram Tankasali, Srivatsan Laxman:
PATENT: Future data event prediction using a generative model
(8126891) 2012
- Vikram Tankasali, Kalyan Kumar Asangi:
Method apparatus and device for bearing VPLS service over IP backbone.
(WO/2007/076692) 2008