A Second Order Cone programming Formulation for Classifying Missing Data. - Chiranjib Bhattacharyya; Pannagadatta K. Shivaswamy; Alexander J. Smola (NIPS, 2004)

Permutation invariant SVMs. - Pannagadatta K. Shivaswamy; Tony Jebara (ICML, 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)

A Support Vector Approach to Censored Targets. - Pannagadatta K. Shivaswamy; Wei Chu; Martin Jansche (ICDM, 2007)

Ellipsoidal Machines. - Pannagadatta K. Shivaswamy; Tony Jebara (AISTATS, 2007)

Relative Margin Machines. - Pannagadatta K. Shivaswamy; Tony Jebara (NIPS, 2008)

Structured Prediction with Relative Margin. - Pannagadatta K. Shivaswamy; Tony Jebara (ICMLA, 2009)

Multi-task learning for boosting with application to web search ranking. - Olivier Chapelle; Pannagadatta K. Shivaswamy; Srinivas Vadrevu; Kilian Q. Weinberger; Ya Zhang 002; Belle L. Tseng (KDD, 2010)

Laplacian Spectrum Learning. - Pannagadatta K. Shivaswamy; Tony Jebara (ECML/PKDD (3), 2010)

Maximum Relative Margin and Data-Dependent Regularization. - Pannagadatta K. Shivaswamy; Tony Jebara (J. Mach. Learn. Res., 2010)

Empirical Bernstein Boosting. - Pannagadatta K. Shivaswamy; Tony Jebara (AISTATS, 2010)

Structured learning of two-level dynamic rankings. - Karthik Raman 001; Thorsten Joachims; Pannaga Shivaswamy (CIKM, 2011)

Variance Penalizing AdaBoost. - Pannagadatta K. Shivaswamy; Tony Jebara (NIPS, 2011)

Large-Margin Learning of Submodular Summarization Methods - Ruben Sipos; Pannaga Shivaswamy; Thorsten Joachims (CoRR, 2011)

Online Learning with Preference Feedback - Pannagadatta K. Shivaswamy; Thorsten Joachims (CoRR, 2011)

Boosted multi-task learning. - Olivier Chapelle; Pannagadatta K. Shivaswamy; Srinivas Vadrevu; Kilian Q. Weinberger; Ya Zhang 002; Belle L. Tseng (Mach. Learn., 2011)

Temporal corpus summarization using submodular word coverage. - Ruben Sipos; Adith Swaminathan; Pannaga Shivaswamy; Thorsten Joachims (CIKM, 2012)

Large-Margin Learning of Submodular Summarization Models. - Ruben Sipos; Pannaga Shivaswamy; Thorsten Joachims (EACL, 2012)

Online Structured Prediction via Coactive Learning. - Pannaga Shivaswamy; Thorsten Joachims (ICML, 2012)

Online learning to diversify from implicit feedback. - Karthik Raman 001; Pannaga Shivaswamy; Thorsten Joachims (KDD, 2012)

Multi-armed Bandit Problems with History. - Pannagadatta K. Shivaswamy; Thorsten Joachims (AISTATS, 2012)

Stable Coactive Learning via Perturbation. - Karthik Raman 001; Thorsten Joachims; Pannaga Shivaswamy; Tobias Schnabel (ICML (3), 2013)

Coactive Learning. - Pannaga Shivaswamy; Thorsten Joachims (J. Artif. Intell. Res., 2015)

Bias-Variance Decomposition for Ranking. - Pannaga Shivaswamy; Ashok Chandrashekar (WSDM, 2021)

Adversary or Friend? An adversarial Approach to Improving Recommender Systems. - Pannaga Shivaswamy; Dario García-García (RecSys, 2022)

POSIT: Promotion of Semantic Item Tail via Adversarial Learning. - Qiuling Xu; Pannaga Shivaswamy; Xiangyu Zhang 001 (CoRR, 2023)

What is in a name? Mitigating Name Bias in Text Embedding Similarity via Anonymization. - Sahil Manchanda; Pannaga Shivaswamy (ACL (Findings), 2025)

What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization. - Sahil Manchanda; Pannaga Shivaswamy (CoRR, 2025)