| Estimation with norm regularization A Banerjee, S Chen, F Fazayeli, V Sivakumar Advances in neural information processing systems 27, 2014 | 64 | 2014 |
| Multi-task sparse structure learning AR Gonçalves, P Das, S Chatterjee, V Sivakumar, FJ Von Zuben, ... Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 42 | 2014 |
| Beyond sub-gaussian measurements: High-dimensional structured estimation with sub-exponential designs V Sivakumar, A Banerjee, PK Ravikumar Advances in neural information processing systems 28, 2015 | 37 | 2015 |
| Leveraging web intelligence for finding interesting research datasets A Singhal, R Kasturi, V Sivakumar, J Srivastava 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2013 | 28 | 2013 |
| Structured linear contextual bandits: A sharp and geometric smoothed analysis V Sivakumar, S Wu, A Banerjee International Conference on Machine Learning, 9026-9035, 2020 | 18 | 2020 |
| Smoothed adversarial linear contextual bandits with knapsacks V Sivakumar, S Zuo, A Banerjee International Conference on Machine Learning, 20253-20277, 2022 | 15 | 2022 |
| Structured stochastic linear bandits N Johnson, V Sivakumar, A Banerjee arXiv preprint arXiv:1606.05693, 2016 | 13 | 2016 |
| Estimation with norm regularization A Banerjee, S Chen, F Fazayeli, V Sivakumar arXiv preprint arXiv:1505.02294, 2015 | 11 | 2015 |
| High-dimensional structured quantile regression V Sivakumar, A Banerjee International Conference on Machine Learning, 3220-3229, 2017 | 10 | 2017 |
| Interpretable predictive modeling for climate variables with weighted lasso S He, X Li, V Sivakumar, A Banerjee Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1385-1392, 2019 | 7 | 2019 |
| Random quadratic forms with dependence: Applications to restricted isometry and beyond A Banerjee, Q Gu, V Sivakumar, SZ Wu Advances in Neural Information Processing Systems 32, 2019 | 5 | 2019 |
| Structured estimation in high dimensions: Applications in climate AR Goncalves, A Banerjee, V Sivakumar, S Chatterjee Large-Scale Machine Learning in the Earth Sciences, 13-32, 2017 | 4 | 2017 |
| Open problem: Restricted eigenvalue condition for heavy tailed designs A Banerjee, S Chen, V Sivakumar Conference on Learning Theory, 1752-1755, 2015 | 2 | 2015 |
| Predicting Indian summer monsoon rainfall (ISMR) using a mixture of regression model.” V Sivakumar, M Saha, P Mitra, A Banerjee 5th International Workshop on Climate Informatics, 2015 | 2 | 2015 |
| Beyond Sub-Gaussian and Independent Data in High Dimensional Regression V Sivakumar University of Minnesota, 2020 | | 2020 |
| Structured Stochastic Linear Bandits (DRAFT) N Johnson, V Sivakumar, A Banerjee | | 2016 |
| ROBUSTNESS AND SYNTHESIS OF EARTH SYSTEM MODELS (ESMS): AMulti-TASK LEARNING PERSPECTIVE AR Gonçalves, V Sivakumar, S Chatterjee, D Kumar, S Chatterjee, ... | | |
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证
