| Semi-supervised learning X Zhu Encyclopedia of machine learning, 892-897, 2010 | 401* | 2010 |
| Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization A Saha, V Sindhwani Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 209 | 2012 |
| On the nonasymptotic convergence of cyclic coordinate descent methods A Saha, A Tewari SIAM Journal on Optimization 23 (1), 576-601, 2013 | 198* | 2013 |
| Improved regret guarantees for online smooth convex optimization with bandit feedback A Saha, A Tewari Proceedings of the fourteenth international conference on artificial …, 2011 | 105 | 2011 |
| Smoothing multivariate performance measures X Zhang, A Saha, SVN Vishwanathan Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2011 | 47 | 2011 |
| New approximation algorithms for minimum enclosing convex shapes A Saha, SVN Vishwanathan, X Zhang Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011 | 31 | 2011 |
| Generalizing mixed effect models for personalizing job search A Saha, D Arya US Patent App. 15/648,798, 2019 | 26 | 2019 |
| Hashing query and job posting features for improved machine learning model performance A Saha, D Arya, S Irajpour US Patent App. 15/658,683, 2019 | 17 | 2019 |
| The interplay between stability and regret in online learning A Saha, P Jain, A Tewari arXiv preprint arXiv:1211.6158, 2012 | 15 | 2012 |
| Large-scale quadratically constrained quadratic program via low-discrepancy sequences K Basu, A Saha, S Chatterjee Advances in Neural Information Processing Systems 30, 2017 | 12 | 2017 |
| Accelerated training of max-margin markov networks with kernels X Zhang, A Saha, SVN Vishwanathan Theoretical Computer Science 519, 88-102, 2014 | 12 | 2014 |
| Lower bounds on rate of convergence of cutting plane methods X Zhang, A Saha, SVN Vishwanathan Advances in neural information processing systems 23, 2010 | 12 | 2010 |
| Regularized risk minimization by Nesterov's accelerated gradient methods: Algorithmic extensions and empirical studies X Zhang, A Saha, SVN Vishwanathan arXiv preprint arXiv:1011.0472, 2010 | 11 | 2010 |
| Entity representation learning for improving digital content recommendations A Saha, A Muralidharan US Patent App. 15/941,750, 2019 | 8 | 2019 |
| Populating a user interface using quadratic constraints K Basu, S Chatterjee, A Saha US Patent App. 15/794,872, 2019 | 8 | 2019 |
| Edge formation in social networks to nurture content creators C Lo, E De Longueau, A Saha, S Chatterjee Proceedings of The Web Conference 2020, 1999-2008, 2020 | 6 | 2020 |
| Per-article personalized models for recommending content email digests with personalized candidate article pools A Saha, A Muralidharan US Patent 11,288,591, 2022 | 5 | 2022 |
| Personalizing online feed presentation using machine learning VY Tripathi, TP Jurka, A Saha, CD Yen US Patent App. 16/457,713, 2020 | 5 | 2020 |
| Determining viewer language affinity for multi-lingual content in social network feeds A Muralidharan, A Saha US Patent 10,866,977, 2020 | 5 | 2020 |
| Determining viewer affinity for articles in a heterogeneous content feed A Saha, A Muralidharan US Patent 10,757,217, 2020 | 5 | 2020 |
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
