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ORCIDPannagadatta K. Shivaswamy
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2020 – today
- 2023
[i5]Qiuling Xu, Pannaga Shivaswamy, Xiangyu Zhang:
POSIT: Promotion of Semantic Item Tail via Adversarial Learning. CoRR abs/2308.03366 (2023)- 2022
- [c19]Pannaga Shivaswamy, Dario García-García:
Adversary or Friend? An adversarial Approach to Improving Recommender Systems. RecSys 2022: 369-377 - 2021
- [c18]Pannaga Shivaswamy, Ashok Chandrashekar:
Bias-Variance Decomposition for Ranking. WSDM 2021: 472-480
2010 – 2019
- 2015
- [j4]Pannaga Shivaswamy, Thorsten Joachims:
Coactive Learning. J. Artif. Intell. Res. 53: 1-40 (2015) - 2013
- [c17]Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy, Tobias Schnabel:
Stable Coactive Learning via Perturbation. ICML (3) 2013: 837-845 - 2012
- [c16]Ruben Sipos, Adith Swaminathan, Pannaga Shivaswamy, Thorsten Joachims:
Temporal corpus summarization using submodular word coverage. CIKM 2012: 754-763 - [c15]Ruben Sipos, Pannaga Shivaswamy, Thorsten Joachims:
Large-Margin Learning of Submodular Summarization Models. EACL 2012: 224-233 - [c14]Pannaga Shivaswamy, Thorsten Joachims:
Online Structured Prediction via Coactive Learning. ICML 2012 - [c13]Karthik Raman, Pannaga Shivaswamy, Thorsten Joachims:
Online learning to diversify from implicit feedback. KDD 2012: 705-713 - [c12]Pannagadatta K. Shivaswamy, Thorsten Joachims:
Multi-armed Bandit Problems with History. AISTATS 2012: 1046-1054 - [i4]Pannaga Shivaswamy, Thorsten Joachims:
Online Structured Prediction via Coactive Learning. CoRR abs/1205.4213 (2012) - 2011
- [j3]Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang
, Belle L. Tseng:
Boosted multi-task learning. Mach. Learn. 85(1-2): 149-173 (2011) - [c11]Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy:
Structured learning of two-level dynamic rankings. CIKM 2011: 291-296 - [c10]Pannagadatta K. Shivaswamy, Tony Jebara:
Variance Penalizing AdaBoost. NIPS 2011: 1908-1916 - [i3]Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy:
Structured Learning of Two-Level Dynamic Rankings. CoRR abs/1108.2754 (2011) - [i2]Ruben Sipos, Pannaga Shivaswamy, Thorsten Joachims:
Large-Margin Learning of Submodular Summarization Methods. CoRR abs/1110.2162 (2011) - [i1]Pannagadatta K. Shivaswamy, Thorsten Joachims:
Online Learning with Preference Feedback. CoRR abs/1111.0712 (2011) - 2010
- [j2]Pannagadatta K. Shivaswamy, Tony Jebara:
Maximum Relative Margin and Data-Dependent Regularization. J. Mach. Learn. Res. 11: 747-788 (2010) - [c9]Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng:
Multi-task learning for boosting with application to web search ranking. KDD 2010: 1189-1198 - [c8]Pannagadatta K. Shivaswamy, Tony Jebara:
Laplacian Spectrum Learning. ECML/PKDD (3) 2010: 261-276 - [c7]Pannagadatta K. Shivaswamy, Tony Jebara:
Empirical Bernstein Boosting. AISTATS 2010: 733-740
2000 – 2009
- 2009
- [c6]Pannagadatta K. Shivaswamy, Tony Jebara:
Structured Prediction with Relative Margin. ICMLA 2009: 281-287 - 2008
- [c5]Pannagadatta K. Shivaswamy, Tony Jebara:
Relative Margin Machines. NIPS 2008: 1481-1488 - 2007
- [c4]Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansche:
A Support Vector Approach to Censored Targets. ICDM 2007: 655-660 - [c3]Pannagadatta K. Shivaswamy, Tony Jebara:
Ellipsoidal Machines. AISTATS 2007: 484-491 - 2006
- [j1]Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, Alexander J. Smola:
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data. J. Mach. Learn. Res. 7: 1283-1314 (2006) - [c2]Pannagadatta K. Shivaswamy, Tony Jebara:
Permutation invariant SVMs. ICML 2006: 817-824 - 2004
- [c1]Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alexander J. Smola:
A Second Order Cone programming Formulation for Classifying Missing Data. NIPS 2004: 153-160
Coauthor Index
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