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ORCIDVidyashankar Sivakumar
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2020 – today
- 2022
[c10]Vidyashankar Sivakumar, Shiliang Zuo, Arindam Banerjee:
Smoothed Adversarial Linear Contextual Bandits with Knapsacks. ICML 2022: 20253-20277- 2020
- [c9]Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee:
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis. ICML 2020: 9026-9035 - [i5]Vidyashankar Sivakumar, Zhiwei Steven Wu, Arindam Banerjee:
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis. CoRR abs/2002.11332 (2020)
2010 – 2019
- 2019
- [c8]Sijie He, Xinyan Li, Vidyashankar Sivakumar, Arindam Banerjee:
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso. AAAI 2019: 1385-1392 - [c7]Arindam Banerjee, Qilong Gu, Vidyashankar Sivakumar, Zhiwei Steven Wu:
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond. NeurIPS 2019: 12578-12588 - [i4]Arindam Banerjee, Qilong Gu, Vidyashankar Sivakumar, Zhiwei Steven Wu:
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond. CoRR abs/1910.04930 (2019) - 2017
- [c6]Vidyashankar Sivakumar, Arindam Banerjee:
High-Dimensional Structured Quantile Regression. ICML 2017: 3220-3229 - 2016
- [i3]Nicholas Johnson, Vidyashankar Sivakumar, Arindam Banerjee:
Structured Stochastic Linear Bandits. CoRR abs/1606.05693 (2016) - 2015
- [c5]Arindam Banerjee, Sheng Chen, Vidyashankar Sivakumar:
Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs. COLT 2015: 1752-1755 - [c4]Vidyashankar Sivakumar, Arindam Banerjee, Pradeep Ravikumar:
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs. NIPS 2015: 2206-2214 - [i2]Arindam Banerjee, Sheng Chen, Farideh Fazayeli, Vidyashankar Sivakumar:
Estimation with Norm Regularization. CoRR abs/1505.02294 (2015) - 2014
- [c3]André R. Gonçalves
, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee:
Multi-task Sparse Structure Learning. CIKM 2014: 451-460 - [c2]Arindam Banerjee, Sheng Chen, Farideh Fazayeli, Vidyashankar Sivakumar:
Estimation with Norm Regularization. NIPS 2014: 1556-1564 - [i1]André R. Gonçalves, Puja Das, Soumyadeep Chatterjee, Vidyashankar Sivakumar, Fernando J. Von Zuben, Arindam Banerjee:
Multi-task Sparse Structure Learning. CoRR abs/1409.0272 (2014) - 2013
- [c1]Ayush Singhal, Ravindra Kasturi, Vidyashankar Sivakumar, Jaideep Srivastava:
Leveraging Web Intelligence for Finding Interesting Research Datasets. Web Intelligence 2013: 321-328
Coauthor Index
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