Cijo Jose

E-mail cijo.jose-at-idiap.ch
Phone +41277217786
Address Idiap Research Institute
Centre du Parc
Rue Marconi 19
1920 Martigny
Switzerland

I am a research assistant at Idiap Research Institute and a Ph.D student at EPFL working under the guidance of François Fleuret. My research interests are in learning embeddings, kernel learning and about understanding the computational and statistical tradeoffs in machine learning.

Earlier I graduated from IIT Delhi with a masters in computer science. I am thankful to Manik Varma and S V N Vishwanathan for introducing me to the world of machine learning research.

Publications

2017

pdf - bib Cijo Jose and Moustapha Cisse and François Fleuret. Kronecker Recurrent Units. Arxiv preprint, May 2017. Code coming soon

2016

pdf - bib Cijo Jose and François Fleuret. Scalable Metric Learning via Weighted Approximate Rank Component Analysis. In Proceedings of the European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, October 2016. code
pdf - bib Olivier Canévet, Cijo Jose and François Fleuret. Importance Sampling Tree for Large-scale Empirical Expectation. In Proceedings of the International Conference on Machine Learning (ICML), New York City, New York, June 2016.

2013

pdf - bib Cijo Jose, Prasoon Goyal, Parv Agarwal and Manik Varma. Local deep kernel learning for efficient non-linear SVM prediction. In Proceedings of the International Conference on Machine Learning(ICML), Atlanta, Georgia, June 2013. code
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