| A dirty model for multi-task learning A Jalali, P Ravikumar, S Sanghavi, C Ruan NIPS, December, 2010 | 564* | 2010 |
| Low-rank matrix recovery from errors and erasures Y Chen, A Jalali, S Sanghavi, C Caramanis IEEE Transactions on Information Theory 59 (7), 4324-4337, 2013 | 230 | 2013 |
| Clustering partially observed graphs via convex optimization A Jalali, Y Chen, S Sanghavi, H Xu Arxiv preprint arXiv:1104.4803, 2011 | 216* | 2011 |
| Real time bid optimization with smooth budget delivery in online advertising KC Lee, A Jalali, A Dasdan Proceedings of the seventh international workshop on data mining for online …, 2013 | 190 | 2013 |
| Shredder: Learning noise distributions to protect inference privacy F Mireshghallah, M Taram, P Ramrakhyani, A Jalali, D Tullsen, ... Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020 | 141 | 2020 |
| On learning discrete graphical models using greedy methods A Jalali, C Johnson, P Ravikumar Advances in Neural Information Processing Systems 24, 2011 | 128 | 2011 |
| On learning discrete graphical models using group-sparse regularization A Jalali, P Ravikumar, V Vasuki, S Sanghavi Proceedings of the fourteenth international conference on artificial …, 2011 | 121 | 2011 |
| Hybrid batch Bayesian optimization J Azimi, A Jalali, X Fern arXiv preprint arXiv:1202.5597, 2012 | 116 | 2012 |
| High-dimensional sparse inverse covariance estimation using greedy methods C Johnson, A Jalali, P Ravikumar Artificial Intelligence and Statistics, 574-582, 2012 | 65 | 2012 |
| Learning the Dependence Graph of Time Series with Latent Factors A Jalali, S Sanghavi ICML, http://arxiv.org/abs/1106, 2012 | 62 | 2012 |
| Clustering using max-norm constrained optimization A Jalali, N Srebro arXiv preprint arXiv:1202.5598, 2012 | 37 | 2012 |
| A principled approach to learning stochastic representations for privacy in deep neural inference F Mireshghallah, M Taram, A Jalali, AT Elthakeb, D Tullsen, ... arXiv preprint arXiv:2003.12154, 2020 | 16 | 2020 |
| Dynamic bid price selection A Jalali, A Dasdan US Patent App. 14/075,345, 2015 | 15 | 2015 |
| Performance metric based bid placement A Jalali, A Dasdan, K Lee US Patent App. 14/075,392, 2015 | 14 | 2015 |
| Exploration vs exploitation in bayesian optimization A Jalali, J Azimi, X Fern CoRR, 2012 | 13 | 2012 |
| Configurable ultrasonic flaw classification of oil pipelines: Part I: image acquisition, preprocessing and flaw area and volume estimation H Ravanbod, A Jalali Nondestructive Testing and Evaluation 23 (1), 43-55, 2008 | 13 | 2008 |
| Efficient budget pacing A Jalali, A Dasdan, K Lee US Patent App. 14/060,862, 2015 | 12 | 2015 |
| A lipschitz exploration-exploitation scheme for Bayesian optimization A Jalali, J Azimi, X Fern, R Zhang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013 | 12 | 2013 |
| Insights into feedback and feedback signaling for beamformer design CK Au-Yeung, A Jalali, DJ Love 2009 Information Theory and Applications Workshop, 187-190, 2009 | 12 | 2009 |
| Adaptive fuzzy fallback stratified sampling for fast reporting and forecasting A Jalali, S Kolay, P Foldes, A Dasdan US Patent 9,524,510, 2016 | 10 | 2016 |
Sujay SanghaviProfessor, Electrical and Computer Engineering, University of Texas, AustinVerified email at mail.utexas.edu
