Bhanukiran Vinzamuri

According to our database, Bhanukiran Vinzamuri authored at least 28 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate.

Zhiqi Bu, Xiaomeng Jin, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong

CoRR, 2024

2023

Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions.

Xiaomeng Jin, Bhanukiran Vinzamuri, Sriram Venkatapathy, Heng Ji, Pradeep Natarajan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Fair Representation Learning using Interpolation Enabled Disentanglement.

Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy

CoRR, 2021

Unsupervised anomaly detection with adversarial mirrored autoencoders.

Gowthami Somepalli, Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection.

Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi

CoRR, 2020

An Unsupervised Framework for Semantics Driven Causal Explanations for Anomalies.

Bhanukiran Vinzamuri, Elham Khabiri, Anuradha Bhamidipaty

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.

Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar

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.

Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

An End-to-End Context Aware Anomaly Detection System.

Bhanukiran Vinzamuri, Elham Khabiri, Anuradha Bhamidipaty, Gregory Mckim, Biren Gandhi

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.

Elham Khabiri, Wesley M. Gifford, Bhanukiran Vinzamuri, Dhaval Patel, Pietro Mazzoleni

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.

Flávio du Pin Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

IEEE J. Sel. Top. Signal Process., 2018

Is Ordered Weighted ℓ₁ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR.

Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu

CoRR, 2018

Structure Learning from Time Series with False Discovery Control.

Bernat Guillen Pegueroles, Bhanukiran Vinzamuri, Karthikeyan Shanmugam, Steve Hedden, Jonathan D. Moyer, Kush R. Varshney

CoRR, 2018

Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR.

Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

False Discovery Rate Control with Concave Penalties Using Stability Selection.

Bhanukiran Vinzamuri, Kush R. Varshney

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration.

Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy

IEEE Trans. Knowl. Data Eng., 2017

Optimized Pre-Processing for Discrimination Prevention.

Flávio P. Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

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.

Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Feature Grouping Using Weighted l1 Norm for High-Dimensional Data.

Bhanukiran Vinzamuri, Karthik K. Padthe, Chandan K. Reddy

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

CRISP: Consensus Regularized Selection based Prediction.

Ping Wang, Karthik K. Padthe, Bhanukiran Vinzamuri, Chandan K. Reddy

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Constrained elastic net based knowledge transfer for healthcare information exchange.

Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy

Data Min. Knowl. Discov., 2015

2014

Personalized Recommendation of Twitter Lists using Content and Network Information.

Vineeth Rakesh, Dilpreet Singh, Bhanukiran Vinzamuri, Chandan K. Reddy

Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

Active Learning based Survival Regression for Censored Data.

Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy

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.

Bhanukiran Vinzamuri, Chandan K. Reddy

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

A Survey of Partitional and Hierarchical Clustering Algorithms.

Chandan K. Reddy, Bhanukiran Vinzamuri

Proceedings of the Data Clustering: Algorithms and Applications, 2013

2011

RNN Based Sampling Technique for Effective Active Learning.

Gaurav Maheshwari, Bhanukiran Vinzamuri, Vikram Pudi

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Designing an ensemble classifier over subspace classifiers using iterative convergence routine.

Bhanukiran Vinzamuri, Kamalakar Karlapalem

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

A Robust Active Learning Framework Using Itemset Based Dynamic Rule Sampling.

Bhanukiran Vinzamuri, Vikram Pudi

Proceedings of the 16th International Conference on Management of Data, 2010