Bhanukiran Vinzamuri
Bhanukiran Vinzamuri
IBM Research
Verified email at ibm.com
Title
Cited by
Cited by
Year
Optimized pre-processing for discrimination prevention
F Calmon, D Wei, B Vinzamuri, KN Ramamurthy, KR Varshney
Advances in Neural Information Processing Systems, 3992-4001, 2017
1812017
A Survey of Partitional and Hierarchical Clustering Algorithms.
CK Reddy, B Vinzamuri
Data clustering: Algorithms and applications 87, 2013
662013
Personalized Recommendation of Twitter Lists using Content and Network Information.
V Rakesh, D Singh, B Vinzamuri, CK Reddy
ICWSM, 2014
472014
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
422013
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
342014
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
132015
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
122016
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
72018
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
52017
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
42017
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
32019
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
32016
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
22018
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
22016
RNN based batch mode active learning framework
G Maheshwari, V Pudi
International Institute of Information Technology Hyderabad, 2013
22013
Model Agnostic Multilevel Explanations
KN Ramamurthy, B Vinzamuri, Y Zhang, A Dhurandhar
arXiv preprint arXiv:2003.06005, 2020
12020
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
12018
Decision Support for Policymaking: Causal Inference Algorithm and Case Study
B Vinzamuri, A Mojsilović, KR Varshney
Proceedings of ACM Conference, Wash DC, 2017
12017
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
2020
Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection
Y Wu, Y Balaji, B Vinzamuri, S Feizi
arXiv preprint arXiv:2003.10713, 2020
2020
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Articles 1–20