On inductive bias from optimization in learning:
On algorithmic fairness:
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. |