Bhanukiran Vinzamuri

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 21

Top Topics

Electronic Health Records

Exceptional Model Mining

Top Venues

Publications

Xiaomeng Jin, Bhanukiran Vinzamuri, Sriram Venkatapathy, Heng Ji, Pradeep Natarajan
Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions. EMNLP (Findings) (2023)
Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy
Fair Representation Learning using Interpolation Enabled Disentanglement. CoRR (2021)
Gowthami Somepalli, Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi
Unsupervised anomaly detection with adversarial mirrored autoencoders. UAI (2021)
Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines. CHIL (2020)
Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi
Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection. CoRR (2020)
Bhanukiran Vinzamuri, Elham Khabiri, Anuradha Bhamidipaty, Gregory Mckim, Biren Gandhi
An End-to-End Context Aware Anomaly Detection System. IEEE BigData (2020)
Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar
Model Agnostic Multilevel Explanations. NeurIPS (2020)
Bhanukiran Vinzamuri, Elham Khabiri, Anuradha Bhamidipaty
An Unsupervised Framework for Semantics Driven Causal Explanations for Anomalies. ISWC (Demos/Industry) (2020)
Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar
Model Agnostic Multilevel Explanations. CoRR (2020)
Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines. CoRR (2019)
Elham Khabiri, Wesley M. Gifford, Bhanukiran Vinzamuri, Dhaval Patel, Pietro Mazzoleni
Industry Specific Word Embedding and its Application in Log Classification. CIKM (2019)
Flávio du Pin Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis. IEEE J. Sel. Top. Signal Process. 12 (5) (2018)
Bernat Guillen Pegueroles, Bhanukiran Vinzamuri, Karthikeyan Shanmugam, Steve Hedden, Jonathan D. Moyer, Kush R. Varshney
Structure Learning from Time Series with False Discovery Control. CoRR (2018)
Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu
Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR. GlobalSIP (2018)
Bhanukiran Vinzamuri, Kush R. Varshney
False Discovery Rate Control with Concave Penalties Using Stability Selection. DSW (2018)
Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu
Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR. CoRR (2018)
Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy
Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration. IEEE Trans. Knowl. Data Eng. 29 (10) (2017)
Flávio du Pin Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
Optimized Pre-Processing for Discrimination Prevention. NIPS (2017)
Ping Wang, Karthik K. Padthe, Bhanukiran Vinzamuri, Chandan K. Reddy
CRISP: Consensus Regularized Selection based Prediction. CIKM (2016)
Bhanukiran Vinzamuri, Karthik K. Padthe, Chandan K. Reddy
Feature Grouping Using Weighted l1 Norm for High-Dimensional Data. ICDM (2016)
Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy
Regularized Weighted Linear Regression for High-dimensional Censored Data. SDM (2016)
Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy
Constrained elastic net based knowledge transfer for healthcare information exchange. Data Min. Knowl. Discov. 29 (4) (2015)
Vineeth Rakesh, Dilpreet Singh, Bhanukiran Vinzamuri, Chandan K. Reddy
Personalized Recommendation of Twitter Lists using Content and Network Information. ICWSM (2014)
Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy
Active Learning based Survival Regression for Censored Data. CIKM (2014)
Bhanukiran Vinzamuri, Chandan K. Reddy
Cox Regression with Correlation Based Regularization for Electronic Health Records. ICDM (2013)
Bhanukiran Vinzamuri, Kamalakar Karlapalem
Designing an ensemble classifier over subspace classifiers using iterative convergence routine. CIKM (2011)
Gaurav Maheshwari, Bhanukiran Vinzamuri, Vikram Pudi
RNN Based Sampling Technique for Effective Active Learning. MLDM Posters (2011)
Bhanukiran Vinzamuri, Vikram Pudi
A Robust Active Learning Framework Using Itemset Based Dynamic Rule Sampling. COMAD (2010)