Cijo Jose
Research Assistant
Machine learning
IDIAP Research Institute
Switzerland
Biography
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 machine learning, in particular learning embeddings and importance sampling. 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.
Research Interest
Machine learning
Publications
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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.
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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.
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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.
