| Optimized pre-processing for discrimination prevention F Calmon, D Wei, B Vinzamuri, K Natesan Ramamurthy, KR Varshney Advances in neural information processing systems 30, 2017 | 547 | 2017 |
| A survey of partitional and hierarchical clustering algorithms CK Reddy, B Vinzamuri Data clustering, 87-110, 2018 | 125 | 2018 |
| Cox regression with correlation based regularization for electronic health records B Vinzamuri, CK Reddy 2013 IEEE 13th International Conference on Data Mining, 757-766, 2013 | 59 | 2013 |
| Personalized recommendation of twitter lists using content and network information V Rakesh, D Singh, B Vinzamuri, CK Reddy Proceedings of the International AAAI Conference on Web and Social Media 8 …, 2014 | 50 | 2014 |
| Active learning based survival regression for censored data B Vinzamuri, Y Li, CK Reddy Proceedings of the 23rd ACM international conference on conference on …, 2014 | 49 | 2014 |
| Optimized Pre-Processing for Discrimination Prevention. F du Pin Calmon, D Wei, B Vinzamuri, KN Ramamurthy, KR Varshney NIPS, 2017 | 27 | 2017 |
| Model agnostic multilevel explanations K Natesan Ramamurthy, B Vinzamuri, Y Zhang, A Dhurandhar Advances in neural information processing systems 33, 5968-5979, 2020 | 20 | 2020 |
| Data pre-processing for discrimination prevention: Information-theoretic optimization and analysis F du Pin Calmon, D Wei, B Vinzamuri, KN Ramamurthy, KR Varshney IEEE Journal of Selected Topics in Signal Processing 12 (5), 1106-1119, 2018 | 19 | 2018 |
| Constrained elastic net based knowledge transfer for healthcare information exchange Y Li, B Vinzamuri, CK Reddy Data Mining and Knowledge Discovery 29 (4), 1094-1112, 2015 | 17 | 2015 |
| Industry specific word embedding and its application in log classification E Khabiri, WM Gifford, B Vinzamuri, D Patel, P Mazzoleni Proceedings of the 28th acm international conference on information and …, 2019 | 16 | 2019 |
| Regularized weighted linear regression for high-dimensional censored data Y Li, B Vinzamuri, CK Reddy Proceedings of the 2016 SIAM International Conference on Data Mining, 45-53, 2016 | 16 | 2016 |
| Unsupervised anomaly detection with adversarial mirrored autoencoders G Somepalli, Y Wu, Y Balaji, B Vinzamuri, S Feizi Uncertainty in Artificial Intelligence, 365-375, 2021 | 11* | 2021 |
| Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines C Nagpal, D Wei, B Vinzamuri, M Shekhar, SE Berger, S Das, ... Proceedings of the ACM Conference on Health, Inference, and Learning, 19-29, 2020 | 10 | 2020 |
| Pre-processing censored survival data using inverse covariance matrix based calibration B Vinzamuri, Y Li, CK Reddy IEEE Transactions on Knowledge and Data Engineering 29 (10), 2111-2124, 2017 | 6 | 2017 |
| Exploring the Causal Relationships between Initial Opioid Prescriptions and Outcomes KRV Jinghe Zhang, Vijay S. Iyengar, Dennis Wei, Bhanukiran Vinzamuri, Hamsa ... AMIA Workshop on Data Mining in Medical Informatics, 2017 | 6 | 2017 |
| An end-to-end context aware anomaly detection system B Vinzamuri, E Khabiri, A Bhamidipaty, G Mckim, B Gandhi 2020 IEEE International Conference on Big Data (Big Data), 1689-1698, 2020 | 4 | 2020 |
| Feature grouping using weighted l1 norm for high-dimensional data B Vinzamuri, KK Padthe, CK Reddy 2016 IEEE 16th International Conference on Data Mining (ICDM), 1233-1238, 2016 | 4 | 2016 |
| Crisp: Consensus regularized selection based prediction P Wang, KK Padthe, B Vinzamuri, CK Reddy Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 4 | 2016 |
| IS ORDERED WEIGHTED ℓ1 REGULARIZED REGRESSION ROBUST TO ADVERSARIAL PERTURBATION? A CASE STUDY ON OSCAR PY Chen, B Vinzamuri, S Liu 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 2 | 2018 |
| Structure learning from time series with false discovery control BG Pegueroles, B Vinzamuri, K Shanmugam, S Hedden, JD Moyer, ... arXiv preprint arXiv:1805.09909, 2018 | 2 | 2018 |
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