Shiv Shankar
Shiv Shankar
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Cited by
Generalizing across domains via cross-gradient training
S Shankar, V Piratla, S Chakrabarti, S Chaudhuri, P Jyothi, S Sarawagi
arXiv preprint arXiv:1804.10745, 2018
f4: Facebook's warm {BLOB} storage system
S Muralidhar, W Lloyd, S Roy, C Hill, E Lin, W Liu, S Pan, S Shankar, ...
11th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2014
Optimizing for the future in non-stationary mdps
Y Chandak, G Theocharous, S Shankar, M White, S Mahadevan, ...
International Conference on Machine Learning, 1414-1425, 2020
Surprisingly easy hard-attention for sequence to sequence learning
S Shankar, S Garg, S Sarawagi
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Posterior attention models for sequence to sequence learning
S Shankar, S Sarawagi
International Conference on Learning Representations, 2018
Labeled memory networks for online model adaptation
S Shankar, S Sarawagi
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Multimodal fusion via cortical network inspired losses
S Shankar
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
Learning compact neural networks using ordinary differential equations as activation functions
MA Torkamani, P Wallis, S Shankar, A Rooshenas
arXiv preprint arXiv:1905.07685, 2019
High-confidence off-policy (or counterfactual) variance estimation
Y Chandak, S Shankar, PS Thomas
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6939-6947, 2021
Three-quarter sibling regression for denoising observational data
S Shankar, D Sheldon, T Sun, J Pickering, TG Dietterich
arXiv preprint arXiv:2101.00074, 2020
Off-policy evaluation for action-dependent non-stationary environments
Y Chandak, S Shankar, N Bastian, B da Silva, E Brunskill, PS Thomas
Advances in Neural Information Processing Systems 35, 9217-9232, 2022
Recommended strategies for dietary modification
S Kumanyika, S Shankar, P Mitchell, P Ganganna, SA Smith, L Thompson, ...
Report of the Technical Advisory Panel on Dietary Modification. US …, 1990
Bosonic Random Walk Neural Networks for Graph Learning
S Shankar, D Towsley
Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth …, 2022
Neural Dependency Coding inspired Multimodal Fusion
S Shankar
arXiv preprint arXiv:2110.00385, 2021
Direct inference of effect of treatment (diet) for a cookieless world
S Shankar, R Sinha, S Mitra, M Sinha, M Fiterau
International Conference on Artificial Intelligence and Statistics, 1869-1887, 2023
Differential equation units: learning functional forms of activation functions from data
MA Torkamani, S Shankar, A Rooshenas, P Wallis
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6030-6037, 2020
Adaptive Instrument Design for Indirect Experiments
Y Chandak, S Shankar, V Syrgkanis, E Brunskill
The Twelfth International Conference on Learning Representations, 2023
Privacy Aware Experiments without Cookies
S Shankar, R Sinha, S Mitra, V Swaminathan, S Mahadevan, M Sinha
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
Variational Boson Sampling
S Shankar, D Towsley
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
A/B testing under Identity Fragmentation
S Shankar, R Sinha, S Mitra, M Fiterau
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