| 2026 | ACL | Learning Shortcut Models for Efficient Recursive Reasoning. | Shiv Shankar |
| 2026 | CCGRID | QRAP: Adaptive Quantum-Safe Risk-Aware Prioritization for Cloud Applications. | Surabhi Garg, Nidhi Singh, Delton Myalil, Shiv Shankar, Meena Singh Dilip Thakur, Rajan MA |
| 2026 | EACL | Pseudo-Likelihood Training for Reasoning Diffusion Language Models. | Shiv Shankar |
| 2026 | EACL | Energy Matching based Preference Learning for Diffusion Language Models. | Shiv Shankar |
| 2025 | WWW | Combining A/A Data and LLMs for Improved Content Evaluation. | Shiv Shankar, Ritwik Sinha, Madalina Fiterau |
| 2025 | UAI | Experimentation under Treatment Dependent Network Interference. | Shiv Shankar, Ritwik Sinha, Madalina Fiterau |
| 2024 | AISTATS | A/B testing under Interference with Partial Network Information. | Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau |
| 2024 | ICLR | Adaptive Instrument Design for Indirect Experiments. | Yash Chandak, Shiv Shankar, Vasilis Syrgkanis, Emma Brunskill |
| 2024 | ICML | On Online Experimentation without Device Identifiers. | Shiv Shankar, Ritwik Sinha, Madalina Fiterau |
| 2023 | AISTATS | Direct Inference of Effect of Treatment (DIET) for a Cookieless World. | Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau |
| 2023 | UAI | Implicit Training of Inference Network Models for Structured Prediction. | Shiv Shankar |
| 2023 | WSDM | Privacy Aware Experiments without Cookies. | Shiv Shankar, Ritwik Sinha, Saayan Mitra, Viswanathan (Vishy) Swaminathan, Sridhar Mahadevan, Moumita Sinha |
| 2022 | ACL | Multimodal fusion via cortical network inspired losses. | Shiv Shankar |
| 2021 | AAAI | High-Confidence Off-Policy (or Counterfactual) Variance Estimation. | Yash Chandak, Shiv Shankar, Philip S. Thomas |
| 2020 | AAAI | Differential Equation Units: Learning Functional Forms of Activation Functions from Data. | MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis |
| 2020 | CHI | Rethinking Consumer Email: The Research Process for Yahoo Mail 6. | Frank Bentley, Josh Jacobson, Charlotte Sperling, Shiv Shankar, Chris Royer, Ian McCarthy |
| 2020 | ICML | Optimizing for the Future in Non-Stationary MDPs. | Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas |
| 2019 | ICLR | Posterior Attention Models for Sequence to Sequence Learning. | Shiv Shankar, Sunita Sarawagi |
| 2019 | IJCAI | Three-quarter Sibling Regression for Denoising Observational Data. | Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich |
| 2018 | AAAI | Labeled Memory Networks for Online Model Adaptation. | Shiv Shankar, Sunita Sarawagi |
| 2018 | EMNLP | Surprisingly Easy Hard-Attention for Sequence to Sequence Learning. | Shiv Shankar, Siddhant Garg, Sunita Sarawagi |
| 2018 | ICLR | Generalizing Across Domains via Cross-Gradient Training. | Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi |