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Author

Bhanukiran Vinzamuri

Observed names: Vinzamuri Bhanukiran, Vinzamuri, Bhanukiran
Observed institutions: Amazon (United States), IBM (United States), Wayne State University, IBM Research - Thomas J. Watson Research Center, International Institute of Information Technology, Hyderabad, Virginia Tech
ORCID: 0000-0003-2651-8628
Observed ORCID: 0000-0003-2651-8628
OpenAlex ID: A5017540117
Optimized Pre-Processing for Discrimination Prevention
2017 · Flávio P. Calmon, Dennis Wei, et al. · neural information processing systems · 459
A Survey of Partitional and Hierarchical Clustering Algorithms
2018 · Chandan K. Reddy, Bhanukiran Vinzamuri · Chapman & Hall/CRC eBooks · 172
Cox Regression with Correlation Based Regularization for Electronic Health Records
2013 · Bhanukiran Vinzamuri, Chandan K. Reddy · Proceedings · 57
Active Learning based Survival Regression for Censored Data
2014 · Bhanukiran Vinzamuri, Yan Li, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 50
Personalized Recommendation of Twitter Lists using Content and Network Information
2014 · Vineeth Rakesh, Dilpreet Singh, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 34
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Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis
2018 · Flavio du Pin Calmon, Dennis Wei, et al. · IEEE Journal of Selected Topics in Signal Processing · 33
Model Agnostic Multilevel Explanations
2020 · Ramamurthy, Karthikeyan Natesan, Vinzamuri, Bhanukiran, et al. · arXiv (Cornell University) · 26
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Industry Specific Word Embedding and its Application in Log Classification
2019 · Elham Khabiri, Wesley M. Gifford, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 18
Constrained elastic net based knowledge transfer for healthcare information exchange
2014 · Yan Li, Bhanukiran Vinzamuri, et al. · Data Mining and Knowledge Discovery · 17
Regularized Weighted Linear Regression for High-dimensional Censored Data
2016 · Yan Li, Bhanukiran Vinzamuri, et al. · SIAM International Conference on Data Mining · 16
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders
2020 · Somepalli, Gowthami, Wu, Yexin, et al. · arXiv (Cornell University) · 12
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Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration
2017 · Bhanukiran Vinzamuri, Yan Li, et al. · IEEE Transactions on Knowledge and Data Engineering · 10
An End-to-End Context Aware Anomaly Detection System
2020 · Bhanukiran Vinzamuri, Elham Khabiri, et al. · IEEE International Conference on Big Data (BigData) · 6
Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions
2023 · Xiaomeng Jin, Bhanukiran Vinzamuri, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 5
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Feature Grouping Using Weighted l1 Norm for High-Dimensional Data
2016 · Bhanukiran Vinzamuri, Karthik K. Padthe, et al. · Proceedings · 5
CRISP
2016 · Ping Wang, Karthik K. Padthe, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 4
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Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection.
2020 · Yun Wu, Yogesh Balaji, et al. · arXiv (Cornell University) · 3
BLUR: A Bi-Level Optimization Approach for LLM Unlearning
2026 · Hadi Reisizadeh, Jinghan Jia, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 1
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LUME: LLM Unlearning with Multitask Evaluations
2025 · Anil Ramakrishna, Yixin Wan, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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Fair Representation Learning using Interpolation Enabled Disentanglement
2021 · Jha, Akshita, Vinzamuri, Bhanukiran, et al. · arXiv (Cornell University) · 1
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An Unsupervised Framework for Semantics Driven Causal Explanations for Anomalies.
2020 · Bhanukiran Vinzamuri, Elham Khabiri, et al. · 1
Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? a Case Study on Oscar
2018 · Pin-Yu Chen, Bhanukiran Vinzamuri, et al. · IEEE Global Conference on Signal and Information Processing · 1
Is Ordered Weighted $\ell_1$ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR
2018 · Chen, Pin-Yu, Vinzamuri, Bhanukiran, et al. · arXiv (Cornell University) · 1
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False Discovery Rate Control With Concave Penalties Using Stability Selection
2018 · Bhanukiran Vinzamuri, Kush R. Varshney · IEEE Data Science Workshop (DSW) · 1
Structure Learning from Time Series with False Discovery Control
2018 · Pegueroles, Bernat Guillen, Vinzamuri, Bhanukiran, et al. · arXiv (Cornell University) · 1
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Works count: 39
Citation count: 935
H-index: 11
I10-index: 12
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