Cijo Jose

E-mail cijo.jose-at-alumni.epfl.ch
Phone  
Address Nabla Technologies
22 rue Chapon
75003 Paris
France

I am a research scientist at since June 2018. Before that I completed a PhD from École polytechnique fédérale de Lausanne working under the guidance of ever enthusiastic François Fleuret at Idiap Research Institute. My research interests are in learning embeddings, kernel learning, bandit algorithms and software systems for 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

2018

pdf - bib Cijo Jose and Moustapha Cisse and François Fleuret. Kronecker Recurrent Units. In Proceedings of the International Conference on Machine Learning (ICML) 2018, Stockholm, Sweden 2018.  

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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