Pannagadatta K. Shivaswamy

According to our database1, Pannagadatta K. Shivaswamy authored at least 26 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
POSIT: Promotion of Semantic Item Tail via Adversarial Learning.
CoRR, 2023

2022
Adversary or Friend? An adversarial Approach to Improving Recommender Systems.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021
Bias-Variance Decomposition for Ranking.
Proceedings of the WSDM '21, 2021

2015
Coactive Learning.
J. Artif. Intell. Res., 2015

2013
Stable Coactive Learning via Perturbation.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Multi-armed Bandit Problems with History.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Online learning to diversify from implicit feedback.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Online Structured Prediction via Coactive Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

Large-Margin Learning of Submodular Summarization Models.
Proceedings of the EACL 2012, 2012

Temporal corpus summarization using submodular word coverage.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Boosted multi-task learning.
Mach. Learn., 2011

Online Learning with Preference Feedback
CoRR, 2011

Large-Margin Learning of Submodular Summarization Methods
CoRR, 2011

Variance Penalizing AdaBoost.
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.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Empirical Bernstein Boosting.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Maximum Relative Margin and Data-Dependent Regularization.
J. Mach. Learn. Res., 2010

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

Multi-task learning for boosting with application to web search ranking.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Structured Prediction with Relative Margin.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2008
Relative Margin Machines.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

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

A Support Vector Approach to Censored Targets.
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.
J. Mach. Learn. Res., 2006

Permutation invariant SVMs.
Proceedings of the Machine Learning, 2006

2004
A Second Order Cone programming Formulation for Classifying Missing Data.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004


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