| 2025 | ACL | What is in a name? Mitigating Name Bias in Text Embedding Similarity via Anonymization. | Sahil Manchanda, Pannaga Shivaswamy |
| 2022 | RecSys | Adversary or Friend? An adversarial Approach to Improving Recommender Systems. | Pannaga Shivaswamy, Dario Garca-Garca |
| 2021 | WSDM | Bias-Variance Decomposition for Ranking. | Pannaga Shivaswamy, Ashok Chandrashekar |
| 2013 | ICML | Stable Coactive Learning via Perturbation. | Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy, Tobias Schnabel |
| 2012 | CIKM | Temporal corpus summarization using submodular word coverage. | Ruben Sipos, Adith Swaminathan, Pannaga Shivaswamy, Thorsten Joachims |
| 2012 | EACL | Large-Margin Learning of Submodular Summarization Models. | Ruben Sipos, Pannaga Shivaswamy, Thorsten Joachims |
| 2012 | ICML | Online Structured Prediction via Coactive Learning. | Pannaga Shivaswamy, Thorsten Joachims |
| 2012 | KDD | Online learning to diversify from implicit feedback. | Karthik Raman, Pannaga Shivaswamy, Thorsten Joachims |
| 2011 | CIKM | Structured learning of two-level dynamic rankings. | Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy |