Leveraging Web Intelligence for Finding Interesting Research Datasets. - Ayush Singhal; Ravindra Kasturi; Vidyashankar Sivakumar; Jaideep Srivastava (Web Intelligence, 2013)

Multi-task Sparse Structure Learning. - André R. Gonçalves 001; Puja Das; Soumyadeep Chatterjee; Vidyashankar Sivakumar; Fernando J. Von Zuben; Arindam Banerjee 001 (CIKM, 2014)

Estimation with Norm Regularization. - Arindam Banerjee 001; Sheng Chen 014; Farideh Fazayeli; Vidyashankar Sivakumar (NIPS, 2014)

Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs. - Arindam Banerjee 001; Sheng Chen 014; Vidyashankar Sivakumar (COLT, 2015)

Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs. - Vidyashankar Sivakumar; Arindam Banerjee 001; Pradeep Ravikumar (NIPS, 2015)

Structured Stochastic Linear Bandits. - Nicholas Johnson 001; Vidyashankar Sivakumar; Arindam Banerjee 001 (CoRR, 2016)

High-Dimensional Structured Quantile Regression. - Vidyashankar Sivakumar; Arindam Banerjee 001 (ICML, 2017)

Interpretable Predictive Modeling for Climate Variables with Weighted Lasso. - Sijie He; Xinyan Li; Vidyashankar Sivakumar; Arindam Banerjee 001 (AAAI, 2019)

Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond. - Arindam Banerjee 001; Qilong Gu; Vidyashankar Sivakumar; Zhiwei Steven Wu (NeurIPS, 2019)

Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis. - Vidyashankar Sivakumar; Zhiwei Steven Wu; Arindam Banerjee 001 (ICML, 2020)

Smoothed Adversarial Linear Contextual Bandits with Knapsacks. - Vidyashankar Sivakumar; Shiliang Zuo; Arindam Banerjee 001 (ICML, 2022)