I am a PhD candidate at UTCS, advised by Prof. Inderjit Dhillon. My thesis is on learning with positive and unlabeled examples. It arises in practice in a lot of domains; recommender systems are a classical example (where negative feedback is often rare). A driving application of my research is predicting gene-disease associations, an important problem in biology. On the theoretical side, I analyze positive-unlabeled learning under random noise models.
Publications
2015
- Consistent Multilabel Classification
O. Koyejo, N. Natarajan, P. Ravikumar, I. Dhillon.
In Neural Information Processing Systems (NIPS), pp. 3303–3311, December 2015. - PU Matrix Completion with Graph Information
N. Natarajan, N. Rao, I. Dhillon.
International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), December 2015. - PU Learning for Matrix Completion (pdf, software)
C. Hsieh, N. Natarajan, I. Dhillon.
In International Conference on Machine Learning (ICML), pp. 2445-2453, July 2015. - Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics (pdf, arXiv, software)
N. Natarajan, O. Koyejo, P. Ravikumar, I. Dhillon.
arXiv (arXiv) 1505.01802, May 2015.
2014
- Consistent Binary Classification with Generalized Performance Metrics (pdf, poster, software)
N. Natarajan, O. Koyejo, P. Ravikumar, I. Dhillon.
In Neural Information Processing Systems (NIPS), pp. 2744-2752, December 2014. - Inductive matrix completion for predicting gene-disease associations (pdf, software)
N. Natarajan, I. Dhillon.
Bioinformatics 30(12), pp. i60-i68, June 2014. - Prediction and Clustering in Signed Networks: A Local to Global Perspective (pdf, software)
K. Chiang, C. Hsieh, N. Natarajan, A. Tewari, I. Dhillon.
Journal of Machine Learning Research (JMLR) 15, pp. 1177-1213, March 2014.
2013
- Learning with Noisy Labels (pdf, poster, software)
N. Natarajan, A. Tewari, I. Dhillon, P. Ravikumar.
In Neural Information Processing Systems (NIPS), pp. 1196-1204, December 2013. - Which app will you use next? Collaborative Filtering with Interactional Context (pdf, software)
N. Natarajan, D. Shin, I. Dhillon.
In ACM Conference on Recommender Systems (RecSys), pp. 201-208, October 2013. - Prediction and Validation of Gene-Disease Associations using Methods Inspired by Social Network Analyses (pdf, software)
U. Singh-Blom, N. Natarajan, A. Tewari, J. Woods, I. Dhillon, E. Marcotte.
PLoS ONE 8(5), May 2013.
(e58977)
2011
- Scalable Affiliation Recommendation using Auxiliary Networks (pdf, software)
V. Vasuki, N. Natarajan, Z. Lu, B. Savas, I. Dhillon.
ACM Transactions on Intelligent Systems and Technology (TIST) 3(1), October 2011. - Exploiting Longer Walks for Link Prediction in Signed Network (pdf, software)
K. Chiang, I. Dhillon, N. Natarajan, A. Tewari.
In ACM Conference on Information and Knowledge Management (CIKM), pp. 1157-1162, October 2011.
2010
- Affiliation Recommendation using Auxiliary Networks (pdf, software)
V. Vasuki, N. Natarajan, Z. Lu, I. Dhillon.
In ACM Conference on Recommender Systems (RecSys), pp. 103-110, September 2010. (Oral)