Shiv Shankar

According to our database, Shiv Shankar authored at least 26 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adaptive Instrument Design for Indirect Experiments.

Yash Chandak, Shiv Shankar, Vasilis Syrgkanis, Emma Brunskill

CoRR, 2023

Optimization using Parallel Gradient Evaluations on Multiple Parameters.

Yash Chandak, Shiv Shankar, Venkata Gandikota, Philip S. Thomas, Arya Mazumdar

CoRR, 2023

Privacy Aware Experiments without Cookies.

Shiv Shankar, Ritwik Sinha, Saayan Mitra, Viswanathan (Vishy) Swaminathan, Sridhar Mahadevan, Moumita Sinha

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Implicit Training of Inference Network Models for Structured Prediction.

Shiv Shankar

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Direct Inference of Effect of Treatment (DIET) for a Cookieless World.

Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Implicit Training of Energy Model for Structure Prediction.

Shiv Shankar, Vihari Piratla

CoRR, 2022

Progressive Fusion for Multimodal Integration.

Shiv Shankar, Laure Thompson, Madalina Fiterau

CoRR, 2022

Off-Policy Evaluation for Action-Dependent Non-stationary Environments.

Yash Chandak, Shiv Shankar, Nathaniel D. Bastian, Bruno C. da Silva, Emma Brunskill, Philip S. Thomas

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multimodal fusion via cortical network inspired losses.

Shiv Shankar

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Neural Dependency Coding inspired Multimodal Fusion.

Shiv Shankar

CoRR, 2021

Adversarial Stein Training for Graph Energy Models.

Shiv Shankar

CoRR, 2021

Bosonic Random Walk Networks for Graph Learning.

Shiv Shankar, Don Towsley

CoRR, 2021

Sibling Regression for Generalized Linear Models.

Shiv Shankar, Daniel Sheldon

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Bosonic Random Walk Neural Networks for Graph Learning.

Shiv Shankar, Don Towsley

Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

High-Confidence Off-Policy (or Counterfactual) Variance Estimation.

Yash Chandak, Shiv Shankar, Philip S. Thomas

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint.

Vihari Piratla, Shiv Shankar

CoRR, 2020

Optimizing for the Future in Non-Stationary MDPs.

Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas

Proceedings of the 37th International Conference on Machine Learning, 2020

Rethinking Consumer Email: The Research Process for Yahoo Mail 6.

Frank Bentley, Josh Jacobson, Charlotte Sperling, Shiv Shankar, Chris Royer, Ian McCarthy

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Differential Equation Units: Learning Functional Forms of Activation Functions from Data.

MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions.

MohamadAli Torkamani, Phillip Wallis, Shiv Shankar, Amirmohammad Rooshenas

CoRR, 2019

Three-quarter Sibling Regression for Denoising Observational Data.

Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Posterior Attention Models for Sequence to Sequence Learning.

Shiv Shankar, Sunita Sarawagi

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Generalizing Across Domains via Cross-Gradient Training.

Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi

Proceedings of the 6th International Conference on Learning Representations, 2018

Surprisingly Easy Hard-Attention for Sequence to Sequence Learning.

Shiv Shankar, Siddhant Garg, Sunita Sarawagi

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Labeled Memory Networks for Online Model Adaptation.

Shiv Shankar, Sunita Sarawagi

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Label Organized Memory Augmented Neural Network.

Shiv Shankar, Sunita Sarawagi

CoRR, 2017