A Robust Active Learning Framework Using Itemset Based Dynamic Rule Sampling. - Bhanukiran Vinzamuri; Vikram Pudi (COMAD, 2010)

Designing an ensemble classifier over subspace classifiers using iterative convergence routine. - Bhanukiran Vinzamuri; Kamalakar Karlapalem (CIKM, 2011)

RNN Based Sampling Technique for Effective Active Learning. - Gaurav Maheshwari 003; Bhanukiran Vinzamuri; Vikram Pudi (MLDM Posters, 2011)

A Survey of Partitional and Hierarchical Clustering Algorithms. - Chandan K. Reddy; Bhanukiran Vinzamuri (Data Clustering: Algorithms and Applications, 2013)

Cox Regression with Correlation Based Regularization for Electronic Health Records. - Bhanukiran Vinzamuri; Chandan K. Reddy (ICDM, 2013)

Active Learning based Survival Regression for Censored Data. - Bhanukiran Vinzamuri; Yan Li 052; Chandan K. Reddy (CIKM, 2014)

Personalized Recommendation of Twitter Lists using Content and Network Information. - Vineeth Rakesh; Dilpreet Singh; Bhanukiran Vinzamuri; Chandan K. Reddy (ICWSM, 2014)

Constrained elastic net based knowledge transfer for healthcare information exchange. - Yan Li 052; Bhanukiran Vinzamuri; Chandan K. Reddy (Data Min. Knowl. Discov., 2015)

CRISP: Consensus Regularized Selection based Prediction. - Ping Wang 024; Karthik K. Padthe; Bhanukiran Vinzamuri; Chandan K. Reddy (CIKM, 2016)

Feature Grouping Using Weighted l1 Norm for High-Dimensional Data. - Bhanukiran Vinzamuri; Karthik K. Padthe; Chandan K. Reddy (ICDM, 2016)

Regularized Weighted Linear Regression for High-dimensional Censored Data. - Yan Li 052; Bhanukiran Vinzamuri; Chandan K. Reddy (SDM, 2016)

Optimized Pre-Processing for Discrimination Prevention. - Flávio P. Calmon; Dennis Wei; Bhanukiran Vinzamuri; Karthikeyan Natesan Ramamurthy; Kush R. Varshney (NIPS, 2017)

Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration. - Bhanukiran Vinzamuri; Yan Li 052; Chandan K. Reddy (IEEE Trans. Knowl. Data Eng., 2017)

False Discovery Rate Control with Concave Penalties Using Stability Selection. - Bhanukiran Vinzamuri; Kush R. Varshney (DSW, 2018)

Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR. - Pin-Yu Chen; Bhanukiran Vinzamuri; Sijia Liu 001 (GlobalSIP, 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 001 (CoRR, 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)

Industry Specific Word Embedding and its Application in Log Classification. - Elham Khabiri; Wesley M. Gifford; Bhanukiran Vinzamuri; Dhaval Patel 002; Pietro Mazzoleni (CIKM, 2019)

An End-to-End Context Aware Anomaly Detection System. - Bhanukiran Vinzamuri; Elham Khabiri; Anuradha Bhamidipaty; Gregory Mckim; Biren Gandhi (IEEE BigData, 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 (CHIL, 2020)

Model Agnostic Multilevel Explanations. - Karthikeyan Natesan Ramamurthy; Bhanukiran Vinzamuri; Yunfeng Zhang; Amit Dhurandhar (NeurIPS, 2020)

An Unsupervised Framework for Semantics Driven Causal Explanations for Anomalies. - Bhanukiran Vinzamuri; Elham Khabiri; Anuradha Bhamidipaty (ISWC (Demos/Industry), 2020)

Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection. - Yexin Wu; Yogesh Balaji; Bhanukiran Vinzamuri; Soheil Feizi (CoRR, 2020)

Unsupervised anomaly detection with adversarial mirrored autoencoders. - Gowthami Somepalli; Yexin Wu; Yogesh Balaji; Bhanukiran Vinzamuri; Soheil Feizi (UAI, 2021)

Fair Representation Learning using Interpolation Enabled Disentanglement. - Akshita Jha; Bhanukiran Vinzamuri; Chandan K. Reddy (CoRR, 2021)

Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions. - Xiaomeng Jin; Bhanukiran Vinzamuri; Sriram Venkatapathy; Heng Ji; Pradeep Natarajan (EMNLP (Findings), 2023)

Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. - Xiaomeng Jin; Zhiqi Bu; Bhanukiran Vinzamuri; Anil Ramakrishna; Kai-Wei Chang; Volkan Cevher; Mingyi Hong 001 (NAACL (Long Papers), 2025)

LUME: LLM Unlearning with Multitask Evaluations. - Anil Ramakrishna; Yixin Wan; Xiaomeng Jin; Kai-Wei Chang; Zhiqi Bu; Bhanukiran Vinzamuri; Volkan Cevher; Mingyi Hong 001; Rahul Gupta 001 (CoRR, 2025)

SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models. - Anil Ramakrishna; Yixin Wan; Xiaomeng Jin; Kai-Wei Chang; Zhiqi Bu; Bhanukiran Vinzamuri; Volkan Cevher; Mingyi Hong 001; Rahul Gupta 001 (CoRR, 2025)

BLUR: A Bi-Level Optimization Approach for LLM Unlearning. - Hadi Reisizadeh; Jinghan Jia; Zhiqi Bu; Bhanukiran Vinzamuri; Anil Ramakrishna; Kai-Wei Chang; Volkan Cevher; Sijia Liu 001; Mingyi Hong 001 (CoRR, 2025)

The Amazon Nova Family of Models: Technical Report and Model Card. - Amazon AGI; Aaron Langford; Aayush Shah; Abhanshu Gupta; Abhimanyu Bhatter; Abhinav Goyal 004; Abhinav Mathur; Abhinav Mohanty; Abhishek Kumar; Abhishek Sethi; Abi Komma; Abner Pena; et al. (CoRR, 2025)