Shankar, Shiv

21 publications

UAI 2025 Experimentation Under Treatment Dependent Network Interference Shiv Shankar, Ritwik Sinha, Madalina Fiterau

ICLRW 2025 Learning Straight Flows by Learning Curved Interpolants Shiv Shankar, Tomas Geffner

ICLRW 2025 On Distilling Generator Matching Models Shiv Shankar

AISTATS 2024 A/B Testing Under Interference with Partial Network Information Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau

ICLR 2024 Adaptive Instrument Design for Indirect Experiments Yash Chandak, Shiv Shankar, Vasilis Syrgkanis, Emma Brunskill

NeurIPSW 2024 On LLM Augmented AB Experimentation Shiv Shankar, Ritwik Sinha, Madalina Fiterau

ICML 2024 On Online Experimentation Without Device Identifiers Shiv Shankar, Ritwik Sinha, Madalina Fiterau

ICLRW 2024 Online Experimentation Under Privacy Induced Identity Fragmentation Shiv Shankar, Ritwik Sinha, Madalina Fiterau

AISTATS 2023 Direct Inference of Effect of Treatment (DIET) for a Cookieless World Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau

UAI 2023 Implicit Training of Inference Network Models for Structured Prediction Shiv Shankar

NeurIPS 2022 Off-Policy Evaluation for Action-Dependent Non-Stationary Environments Yash Chandak, Shiv Shankar, Nathaniel Bastian, Bruno da Silva, Emma Brunskill, Philip S. Thomas

NeurIPSW 2022 Optimization Using Parallel Gradient Evaluations on Multiple Parameters Yash Chandak, Shiv Shankar, Venkata Gandikota, Philip S. Thomas, Arya Mazumdar

AAAI 2021 High-Confidence Off-Policy (or Counterfactual) Variance Estimation Yash Chandak, Shiv Shankar, Philip S. Thomas

ECML-PKDD 2021 Sibling Regression for Generalized Linear Models Shiv Shankar, Daniel Sheldon

AAAI 2020 Differential Equation Units: Learning Functional Forms of Activation Functions from Data MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis

ICML 2020 Optimizing for the Future in Non-Stationary MDPs Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip Thomas

ICMLW 2020 Optimizing for the Future in Non-Stationary MDPs Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas

ICLR 2019 Posterior Attention Models for Sequence to Sequence Learning Shiv Shankar, Sunita Sarawagi

IJCAI 2019 Three-Quarter Sibling Regression for Denoising Observational Data Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich

ICLR 2018 Generalizing Across Domains via Cross-Gradient Training Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi

AAAI 2018 Labeled Memory Networks for Online Model Adaptation Shiv Shankar, Sunita Sarawagi