Bhanukiran Vinzamuri

发表

Model Agnostic Multilevel Explanations pdf

Amit Dhurandhar, Yunfeng Zhang, Karthikeyan Natesan Ramamurthy, 2020, NeurIPS.

IS ORDERED WEIGHTED ℓ1 REGULARIZED REGRESSION ROBUST TO ADVERSARIAL PERTURBATION? A CASE STUDY ON OSCAR

Bhanukiran Vinzamuri, Sijia Liu, Pin-Yu Chen, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis

Kush R. Varshney, Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, 2018, IEEE Journal of Selected Topics in Signal Processing.

Personalized Recommendation of Twitter Lists using Content and Network Information

Dilpreet Singh, Bhanukiran Vinzamuri, Chandan K. Reddy, 2014, ICWSM.

CRISP: Consensus Regularized Selection based Prediction

Ping Wang, Bhanukiran Vinzamuri, Chandan K. Reddy, 2016, CIKM.

A Survey of Partitional and Hierarchical Clustering Algorithms

Bhanukiran Vinzamuri, Chandan K. Reddy, C. Reddy, 2018, Data Clustering: Algorithms and Applications.

Active Learning based Survival Regression for Censored Data

Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy, 2014, CIKM.

Cox Regression with Correlation Based Regularization for Electronic Health Records

Bhanukiran Vinzamuri, Chandan K. Reddy, C. Reddy, 2013, 2013 IEEE 13th International Conference on Data Mining.

Constrained elastic net based knowledge transfer for healthcare information exchange

Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy, 2014, Data Mining and Knowledge Discovery.

FALSE DISCOVERY RATE CONTROL WITH CONCAVE PENALTIES USING STABILITY SELECTION

Kush R. Varshney, Bhanukiran Vinzamuri, 2018, 2018 IEEE Data Science Workshop (DSW).

Optimized Pre-Processing for Discrimination Prevention

Kush R. Varshney, Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, 2017, NIPS.

Designing an ensemble classifier over subspace classifiers using iterative convergence routine

Bhanukiran Vinzamuri, Kamalakar Karlapalem, K. Karlapalem, 2011, CIKM '11.

RNN Based Sampling Technique for Effective Active Learning

Vikram Pudi, Bhanukiran Vinzamuri, Gaurav Maheshwari, 2011, MLDM Posters.

Structure Learning from Time Series with False Discovery Control pdf

Kush R. Varshney, Bhanukiran Vinzamuri, Karthikeyan Shanmugam, 2018, ArXiv.

An Unsupervised Framework for Semantics Driven Causal Explanations for Anomalies

Bhanukiran Vinzamuri, Anuradha Bhamidipaty, Elham Khabiri, 2020, SEMWEB.

Novel Machine Learning Methods For Modeling Time-To-Event Data

Bhanukiran Vinzamuri, B. Vinzamuri, 2016 .

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

Yan Li, Bhanukiran Vinzamuri, Chandan K. Reddy, 2017, IEEE Transactions on Knowledge and Data Engineering.

A Robust Active Learning Framework Using Itemset Based Dynamic Rule Sampling

Vikram Pudi, Bhanukiran Vinzamuri, 2010, COMAD.

Industry Specific Word Embedding and its Application in Log Classification

Bhanukiran Vinzamuri, Wesley M. Gifford, Pietro Mazzoleni, 2019, CIKM.

Feature Grouping Using Weighted l1 Norm for High-Dimensional Data

Bhanukiran Vinzamuri, Chandan K. Reddy, Karthik K. Padthe, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Regularized Weighted Linear Regression for High-dimensional Censored Data

Bhanukiran Vinzamuri, Yan Li, Chandan K. Reddy, 2016, SDM.

Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines

Kush R. Varshney, Bhanukiran Vinzamuri, Subhro Das, 2019, CHIL.

Fair Representation Learning using Interpolation Enabled Disentanglement pdf

Bhanukiran Vinzamuri, Chandan K. Reddy, Akshita Jha, 2021, ArXiv.

Unsupervised anomaly detection with adversarial mirrored autoencoders

Bhanukiran Vinzamuri, Soheil Feizi, Yogesh Balaji, 2020, UAI.

Exploring the Causal Relationships between Initial Opioid Prescriptions and Outcomes

Kush R. Varshney, Bhanukiran Vinzamuri, Aleksandra Mojsilovic, 2017 .