Iterative reweighted algorithms for matrix rank minimization K Mohan, M Fazel The Journal of Machine Learning Research 13 (1), 3441-3473, 2012 | 523 | 2012 |
Node-based learning of multiple Gaussian graphical models K Mohan, P London, M Fazel, D Witten, SI Lee The Journal of Machine Learning Research 15 (1), 445-488, 2014 | 235 | 2014 |
Reweighted nuclear norm minimization with application to system identification K Mohan, M Fazel Proceedings of the 2010 American Control Conference, 2953-2959, 2010 | 196 | 2010 |
Learning graphical models with hubs KM Tan, P London, K Mohan, SI Lee, M Fazel, D Witten arXiv preprint arXiv:1402.7349, 2014 | 113 | 2014 |
A simplified approach to recovery conditions for low rank matrices S Oymak, K Mohan, M Fazel, B Hassibi 2011 IEEE International Symposium on Information Theory Proceedings, 2318-2322, 2011 | 112 | 2011 |
Structured learning of Gaussian graphical models K Mohan, M Chung, S Han, D Witten, SI Lee, M Fazel Advances in neural information processing systems 25, 2012 | 101 | 2012 |
New restricted isometry results for noisy low-rank recovery K Mohan, M Fazel 2010 IEEE International Symposium on Information Theory, 1573-1577, 2010 | 58 | 2010 |
Best practices for data-efficient modeling in NLG: how to train production-ready neural models with less data A Arun, S Batra, V Bhardwaj, A Challa, P Donmez, P Heidari, H Inan, ... arXiv preprint arXiv:2011.03877, 2020 | 14 | 2020 |
Online bipartite matching with partially-bandit feedback K Mohan, O Dekel Proceedings of NIPS workshop on Discrete optimization in Machine Learning …, 2011 | 4 | 2011 |
Learning structured matrices in high dimensions: Low rank estimation and structured graphical models K Mohan | 2 | 2015 |
ADMM algorithm for graphical lasso with an l∞ element-wise norm constraint K Mohan arXiv preprint arXiv:1311.7198, 2013 | 1 | 2013 |
ADMM Algorithm for Graphical Lasso with an Element-wise Norm Constraint K Mohan arXiv preprint arXiv:1311.7198, 2013 | | 2013 |