Bhanukiran Vinzamuri

Orcid: 0000-0003-2651-8628

According to our database1, Bhanukiran Vinzamuri authored at least 27 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021
Fair Representation Learning using Interpolation Enabled Disentanglement.
CoRR, 2021

Unsupervised anomaly detection with adversarial mirrored autoencoders.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection.
CoRR, 2020

An Unsupervised Framework for Semantics Driven Causal Explanations for Anomalies.
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

Model Agnostic Multilevel Explanations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

An End-to-End Context Aware Anomaly Detection System.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Industry Specific Word Embedding and its Application in Log Classification.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis.
IEEE J. Sel. Top. Signal Process., 2018

Is Ordered Weighted ℓ<sub>1</sub> Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR.
CoRR, 2018

Structure Learning from Time Series with False Discovery Control.
CoRR, 2018

Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

False Discovery Rate Control with Concave Penalties Using Stability Selection.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017
Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration.
IEEE Trans. Knowl. Data Eng., 2017

Optimized Pre-Processing for Discrimination Prevention.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Regularized Weighted Linear Regression for High-dimensional Censored Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Feature Grouping Using Weighted l1 Norm for High-Dimensional Data.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

CRISP: Consensus Regularized Selection based Prediction.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Constrained elastic net based knowledge transfer for healthcare information exchange.
Data Min. Knowl. Discov., 2015

2014
Personalized Recommendation of Twitter Lists using Content and Network Information.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Active Learning based Survival Regression for Censored Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Cox Regression with Correlation Based Regularization for Electronic Health Records.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

A Survey of Partitional and Hierarchical Clustering Algorithms.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2011
RNN Based Sampling Technique for Effective Active Learning.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Designing an ensemble classifier over subspace classifiers using iterative convergence routine.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
A Robust Active Learning Framework Using Itemset Based Dynamic Rule Sampling.
Proceedings of the 16th International Conference on Management of Data, 2010


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