Pannagadatta K. Shivaswamy

According to our database, Pannagadatta K. Shivaswamy authored at least 26 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

POSIT: Promotion of Semantic Item Tail via Adversarial Learning.

Qiuling Xu, Pannaga Shivaswamy, Xiangyu Zhang

CoRR, 2023

2022

Adversary or Friend? An adversarial Approach to Improving Recommender Systems.

Pannaga Shivaswamy, Dario García-García

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Bias-Variance Decomposition for Ranking.

Pannaga Shivaswamy, Ashok Chandrashekar

Proceedings of the WSDM '21, 2021

2015

Coactive Learning.

Pannaga Shivaswamy, Thorsten Joachims

J. Artif. Intell. Res., 2015

2013

Stable Coactive Learning via Perturbation.

Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy, Tobias Schnabel

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Multi-armed Bandit Problems with History.

Pannagadatta K. Shivaswamy, Thorsten Joachims

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Online learning to diversify from implicit feedback.

Karthik Raman, Pannaga Shivaswamy, Thorsten Joachims

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Online Structured Prediction via Coactive Learning.

Pannaga Shivaswamy, Thorsten Joachims

Proceedings of the 29th International Conference on Machine Learning, 2012

Large-Margin Learning of Submodular Summarization Models.

Ruben Sipos, Pannaga Shivaswamy, Thorsten Joachims

Proceedings of the EACL 2012, 2012

Temporal corpus summarization using submodular word coverage.

Ruben Sipos, Adith Swaminathan, Pannaga Shivaswamy, Thorsten Joachims

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Boosted multi-task learning.

Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng

Mach. Learn., 2011

Online Learning with Preference Feedback

Pannagadatta K. Shivaswamy, Thorsten Joachims

CoRR, 2011

Large-Margin Learning of Submodular Summarization Methods

Ruben Sipos, Pannaga Shivaswamy, Thorsten Joachims

CoRR, 2011

Variance Penalizing AdaBoost.

Pannagadatta K. Shivaswamy, Tony Jebara

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Structured learning of two-level dynamic rankings.

Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Empirical Bernstein Boosting.

Pannagadatta K. Shivaswamy, Tony Jebara

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Maximum Relative Margin and Data-Dependent Regularization.

Pannagadatta K. Shivaswamy, Tony Jebara

J. Mach. Learn. Res., 2010

Laplacian Spectrum Learning.

Pannagadatta K. Shivaswamy, Tony Jebara

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Multi-task learning for boosting with application to web search ranking.

Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Structured Prediction with Relative Margin.

Pannagadatta K. Shivaswamy, Tony Jebara

Proceedings of the International Conference on Machine Learning and Applications, 2009

2008

Relative Margin Machines.

Pannagadatta K. Shivaswamy, Tony Jebara

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Ellipsoidal Machines.

Pannagadatta K. Shivaswamy, Tony Jebara

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A Support Vector Approach to Censored Targets.

Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansche

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Second Order Cone Programming Approaches for Handling Missing and Uncertain Data.

Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, Alexander J. Smola

J. Mach. Learn. Res., 2006

Permutation invariant SVMs.

Pannagadatta K. Shivaswamy, Tony Jebara

Proceedings of the Machine Learning, 2006

2004

A Second Order Cone programming Formulation for Classifying Missing Data.

Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alexander J. Smola

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004