| The Implicit Bias of Gradient Descent on Separable Data D Soudry, E Hoffer, MS Nacson, S Gunasekar, N Srebro The Journal of Machine Learning Research, 2018 | 138 | 2018 |
| Learning Non-Discriminatory Predictors B Woodworth, S Gunasekar, MI Ohannessian, N Srebro Proceedings of the 2017 Conference on Learning Theory (COLT) 35, 2017 | 88 | 2017 |
| Implicit regularization in matrix factorization S Gunasekar, BE Woodworth, S Bhojanapalli, B Neyshabur, N Srebro Advances in Neural Information Processing Systems, 6151-6159, 2017 | 74 | 2017 |
| Implicit bias of gradient descent on linear convolutional networks S Gunasekar, JD Lee, D Soudry, N Srebro Advances in Neural Information Processing Systems, 9461-9471, 2018 | 58 | 2018 |
| Characterizing Implicit Bias in Terms of Optimization Geometry S Gunasekar, J Lee, D Soudry, N Srebro Proceedings of the 35th International Conference on Machine Learning 80 …, 2018 | 55 | 2018 |
| Review quality aware collaborative filtering S Raghavan, S Gunasekar, J Ghosh Proceedings of the sixth ACM conference on Recommender systems, 123-130, 2012 | 45 | 2012 |
| Exponential family matrix completion under structural constraints S Gunasekar, P Ravikumar, J Ghosh International Conference on Machine Learning, 1917-1925, 2014 | 31 | 2014 |
| Noisy matrix completion using alternating minimization S Gunasekar, A Acharya, N Gaur, J Ghosh Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013 | 31 | 2013 |
| Convergence of gradient descent on separable data MS Nacson, J Lee, S Gunasekar, PHP Savarese, N Srebro, D Soudry Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019 | 23 | 2019 |
| Face detection on distorted images augmented by perceptual quality-aware features S Gunasekar, J Ghosh, AC Bovik IEEE transactions on information forensics and security 9 (12), 2119-2131, 2014 | 23 | 2014 |
| Consistent collective matrix completion under joint low rank structure S Gunasekar, M Yamada, D Yin, Y Chang Artificial Intelligence and Statistics, 306-314, 2015 | 20 | 2015 |
| Identifiable phenotyping using constrained Non-Negative matrix factorization S Joshi, S Gunasekar, D Sontag, J Ghosh arXiv preprint arXiv:1608.00704, 2016 | 14 | 2016 |
| Unified view of matrix completion under general structural constraints S Gunasekar, A Banerjee, J Ghosh Advances in Neural Information Processing Systems, 1180-1188, 2015 | 11 | 2015 |
| Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models MS Nacson, S Gunasekar, JD Lee, N Srebro, D Soudry Proceedings of the 36 th International Conference on Machine Learning 97, 2019 | 8 | 2019 |
| Preference Completion from Partial Rankings S Gunasekar, OO Koyejo, J Ghosh Advances in Neural Information Processing Systems, 1370-1378, 2016 | 8 | 2016 |
| On preserving non-discrimination when combining expert advice A Blum, S Gunasekar, T Lykouris, N Srebro Advances in Neural Information Processing Systems, 8376-8387, 2018 | 7 | 2018 |
| Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data S Gunasekar, JC Ho, J Ghosh, S Kreml, AN Kho, JC Denny, BA Malin, ... arXiv preprint arXiv:1609.04466, 2016 | 7 | 2016 |
| Face detection on distorted images using perceptual quality-aware features S Gunasekar, J Ghosh, AC Bovik Human Vision and Electronic Imaging XIX 9014, 90141E, 2014 | 5 | 2014 |
| Kernel and Deep Regimes in Overparametrized Models B Woodworth, S Gunasekar, J Lee, D Soudry, N Srebro arXiv preprint arXiv:1906.05827, 2019 | 2 | 2019 |
| A survey on using side information in recommendation systems S Gunasekar | 2 | 2012 |
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
