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Abhin Shah
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Optimal compression of locally differentially private mechanisms
A Shah, WN Chen, J Balle, P Kairouz, L Theis
International Conference on Artificial Intelligence and Statistics, 7680-7723, 2022
232022
Selective regression under fairness criteria
A Shah, Y Bu, JK Lee, S Das, R Panda, P Sattigeri, GW Wornell
International Conference on Machine Learning, 19598-19615, 2022
132022
On learning continuous pairwise markov random fields
A Shah, D Shah, G Wornell
International conference on artificial intelligence and statistics, 1153-1161, 2021
122021
A computationally efficient method for learning exponential family distributions
A Shah, D Shah, G Wornell
Advances in neural information processing systems 34, 15841-15854, 2021
92021
On counterfactual inference with unobserved confounding
A Shah, R Dwivedi, D Shah, GW Wornell
arXiv preprint arXiv:2211.08209, 2022
52022
Finding valid adjustments under non-ignorability with minimal dag knowledge
A Shah, K Shanmugam, K Ahuja
International Conference on Artificial Intelligence and Statistics, 5538-5562, 2022
52022
Group fairness with uncertainty in sensitive attributes
A Shah, M Shen, JJ Ryu, S Das, P Sattigeri, Y Bu, GW Wornell
arXiv preprint arXiv:2302.08077, 2023
22023
On Computationally Efficient Learning of Exponential Family Distributions
A Shah, D Shah, GW Wornell
arXiv preprint arXiv:2309.06413, 2023
12023
Treatment effect estimation using invariant risk minimization
A Shah, K Ahuja, K Shanmugam, D Wei, KR Varshney, A Dhurandhar
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
12021
Classical information driven quantum dot thermal machines
A Shah, S Vinjanampathy, B Muralidharan
Annals of Physics 396, 564-578, 2018
12018
Cooperative data exchange with weighted cost based on d-basis construction
S Li, A Shah, M Gastpar
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
12017
Doubly Robust Inference in Causal Latent Factor Models
A Abadie, A Agarwal, R Dwivedi, A Shah
arXiv preprint arXiv:2402.11652, 2024
2024
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
A Shah, K Shanmugam, M Kocaoglu
Advances in Neural Information Processing Systems 36, 2024
2024
Data-Rich Causal Inference
A Shah
ACM SIGMETRICS Performance Evaluation Review 51 (3), 54-57, 2024
2024
Learning continuous sparse pairwise Markov random fields
AS Shah
Massachusetts Institute of Technology, 2021
2021
Coded Caching: Global vs Local Content Popularity
A Shah, N Karamchandani, S Diggavi
2019 16th Canadian Workshop on Information Theory (CWIT), 1-6, 2019
2019
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Articles 1–16