Bhanukiran Vinzamuri

36 papers A* 3A 7Misc 1Journal 13Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	BLUR: A Bi-Level Optimization Approach for LLM Unlearning. EACL (Volume 1: Long Papers) Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong
2025	J	`jnl`	BLUR: A Bi-Level Optimization Approach for LLM Unlearning. CoRR Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong
2025	—	`conf`	LUME: LLM Unlearning with Multitask Evaluations. EMNLP (Findings) Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025	J	`jnl`	LUME: LLM Unlearning with Multitask Evaluations. CoRR Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025	J	`jnl`	SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models. CoRR Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025	—	`conf`	Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. NAACL (Long Papers) Xiaomeng Jin, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong
2024	J	`jnl`	Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. CoRR Zhiqi Bu, Xiaomeng Jin, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong
2023	—	`conf`	Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions. EMNLP (Findings) Xiaomeng Jin, Bhanukiran Vinzamuri, Sriram Venkatapathy, Heng Ji, Pradeep Natarajan
2021	J	`jnl`	Fair Representation Learning using Interpolation Enabled Disentanglement. CoRR Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy
2021	A	`conf`	Unsupervised anomaly detection with adversarial mirrored autoencoders. UAI Gowthami Somepalli, Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi
2020	—	`conf`	An End-to-End Context Aware Anomaly Detection System. IEEE BigData Bhanukiran Vinzamuri, Elham Khabiri, Anuradha Bhamidipaty, Gregory Mckim, Biren Gandhi
2020	—	`conf`	An Unsupervised Framework for Semantics Driven Causal Explanations for Anomalies. ISWC (Demos/Industry) Bhanukiran Vinzamuri, Elham Khabiri, Anuradha Bhamidipaty
2020	—	`conf`	Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines. CHIL Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
2020	J	`jnl`	Mirrored Autoencoders with Simplex Interpolation for Unsupervised Anomaly Detection. CoRR Yexin Wu, Yogesh Balaji, Bhanukiran Vinzamuri, Soheil Feizi
2020	A*	`conf`	Model Agnostic Multilevel Explanations. NeurIPS Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar
2020	J	`jnl`	Model Agnostic Multilevel Explanations. CoRR Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar
2019	A	`conf`	Industry Specific Word Embedding and its Application in Log Classification. CIKM Elham Khabiri, Wesley M. Gifford, Bhanukiran Vinzamuri, Dhaval Patel, Pietro Mazzoleni
2019	J	`jnl`	Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines. CoRR Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
2018	J	`jnl`	Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis. IEEE J. Sel. Top. Signal Process. Flávio du Pin Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2018	—	`conf`	False Discovery Rate Control with Concave Penalties Using Stability Selection. DSW Bhanukiran Vinzamuri, Kush R. Varshney
2018	J	`jnl`	Is Ordered Weighted ℓ CoRR Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu
2018	—	`conf`	Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR. GlobalSIP Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu
2018	J	`jnl`	Structure Learning from Time Series with False Discovery Control. CoRR Bernat Guillen Pegueroles, Bhanukiran Vinzamuri, Karthikeyan Shanmugam, Steve Hedden, Jonathan D. Moyer, Kush R. Varshney
2017	—	`conf`	Optimized Pre-Processing for Discrimination Prevention. NIPS Flávio P. Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2017	J	`jnl`	Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration. IEEE Trans. Knowl. Data Eng. Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy
2016	A	`conf`	CRISP: Consensus Regularized Selection based Prediction. CIKM Ping Wang, Karthik K. Padthe, Bhanukiran Vinzamuri, Chandan K. Reddy
2016	A*	`conf`	Feature Grouping Using Weighted l1 Norm for High-Dimensional Data. ICDM Bhanukiran Vinzamuri, Karthik K. Padthe, Chandan K. Reddy
2016	A	`conf`	Regularized Weighted Linear Regression for High-dimensional Censored Data. SDM Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy
2015	J	`jnl`	Constrained elastic net based knowledge transfer for healthcare information exchange. Data Min. Knowl. Discov. Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy
2014	A	`conf`	Active Learning based Survival Regression for Censored Data. CIKM Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy
2014	A	`conf`	Personalized Recommendation of Twitter Lists using Content and Network Information. ICWSM Vineeth Rakesh, Dilpreet Singh, Bhanukiran Vinzamuri, Chandan K. Reddy
2013	—	`ch.`	A Survey of Partitional and Hierarchical Clustering Algorithms. Data Clustering: Algorithms and Applications Chandan K. Reddy, Bhanukiran Vinzamuri
2013	A*	`conf`	Cox Regression with Correlation Based Regularization for Electronic Health Records. ICDM Bhanukiran Vinzamuri, Chandan K. Reddy
2011	A	`conf`	Designing an ensemble classifier over subspace classifiers using iterative convergence routine. CIKM Bhanukiran Vinzamuri, Kamalakar Karlapalem
2011	—	`conf`	RNN Based Sampling Technique for Effective Active Learning. MLDM Posters Gaurav Maheshwari, Bhanukiran Vinzamuri, Vikram Pudi
2010	Misc	`conf`	A Robust Active Learning Framework Using Itemset Based Dynamic Rule Sampling. COMAD Bhanukiran Vinzamuri, Vikram Pudi