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Year Publication
2018 A. Blum, S. Gunasekar, T. Lykouris, N. Srebro. On preserving non-discrimination when combining expert advice. Conference on Neural Information Processing Systems (NIPS), 2018 [to appear].
2018 S. Gunasekar, J. Lee, D. Soudry, N. Srebro. Implicit Bias of Gradient Descent on Linear Convolutional Networks. Conference on Neural Information Processing Systems (NIPS), 2018 [to appear].
2018 S. Gunasekar, J. Lee, D. Soudry, N. Srebro. Characterizing Implicit Bias in Terms of Optimization Geometry. International Conference on Machine Learning (ICML), 2018.
2018 M. S. Nacson, J. Lee, S. Gunasekar, N. Srebro, D. Soudry. Convergence of Gradient Descent on Separable Data. Arxiv Preprint, 2018.
2018 D. Soudry, E. Hoffer, M. S. Nacson, S. Gunasekar, N. Srebro. The Implicit Bias of Gradient Descent on Separable Data. Journal of Machine Learning (JMLR), 2018 [to appear].
2017 S. Gunasekar, B. Woodworth, S. Bhojanapalli, B. Neyshabur, N. Srebro. Implicit Regularization in Matrix Factorization. Advances in Neural Information Processing Systems (NIPS), 2017. Poster, Slides.
2017 B. Woodworth, S. Gunasekar, M. Ohannessian, N. Srebro. Learning Non-Discriminatory Predictors. Conference on Learning Theory (COLT), 2017.
2016 S. Gunasekar, O. Koyejo, J. Ghosh. Preference Completion from Partial Rankings. Advances in Neural Information Processing Systems (NIPS), 2016.
Code
2016 S. Gunasekar, J. Ho, J. Ghosh, S. Kreml, A. N. Kho, J. C. Denny, B. A. Malin, J. Sun. Phenotyping using Structured Collective Matrix Factorization of Multi-source EHR Data. Arxiv Preprint, 2016.
2016 S. Gunasekar. Mining Structured Matrices in High Dimensions. UT Electronic Theses and Dissertations, August 2016.
2016 S. Joshi, S. Gunasekar, D. Sontag, J. Ghosh. Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization. Machine Learning and Healthcare Conference (MLHC), 2016.
2016 J. Henderson, J. Ho, J. Ghosh, S. Gunasekar, J. Sun. Personalized Diversified Tensor Factorization for Phenotyping. NIPS 2015 Workshop on Machine Learning in Healthcare.
2015 S. Gunasekar, A. Banerjee, J. Ghosh. Unified View of Matrix Completion under General Structural Constraints. Advances in Neural Information Processing Systems (NIPS), 2015.
2015 S. Gunasekar, M. Yamada, D. Yin, Y. Chang. Consistent Collective Matrix Completion under Joint Low Rank Structure. International Conference on Artificial Intelligence and Statistics (AISTATS), 2015.
2014 S. Gunasekar, J. Ghosh, A. C. Bovik. Face Detection on Distorted Images Augmented by Perceptual Quality-Aware Features. IEEE Transactions on Information Forensics and Security, 2014.
Shorter version appeared in IS&T/SPIE Electronic Imaging Conference, 2014. [Conference Version]
Dataset
2014 S. Gunasekar, P. Ravikumar, J. Ghosh. Exponential family matrix completion under structural constraints. International Conference on Machine Learning (ICML), 2014.
Errata for the Conference Version
2013 S. Gunasekar, A. Acharya, N. Gaur, J. Ghosh. Noisy Matrix Completion Using Alternating Minimization. Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 2013.
2012 S. Raghavan*, S. Gunasekar*, J. Ghosh. Review quality aware collaborative filtering. ACM Conference on Recommender Systems (RecSys), 2012.
2012 S. Gunasekar. A survey on using side information in recommendation systems. UT Electronic Theses and Dissertations, May 2012.