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ORCIDAbhin Shah
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2020 – today
- 2024
[j1]Abhin Shah:
Data-Rich Causal Inference. SIGMETRICS Perform. Evaluation Rev. 51(3): 54-57 (2024)- [c10]Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell:
Group Fairness with Uncertain Sensitive Attributes. ISIT 2024: 208-213 - [i12]Alberto Abadie, Anish Agarwal, Raaz Dwivedi, Abhin Shah:
Doubly Robust Inference in Causal Latent Factor Models. CoRR abs/2402.11652 (2024) - [i11]Jongha Jon Ryu, Abhin Shah, Gregory W. Wornell:
A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation. CoRR abs/2409.18209 (2024) - 2023
- [c9]Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu:
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge. NeurIPS 2023 - [i10]Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell:
Group Fairness with Uncertainty in Sensitive Attributes. CoRR abs/2302.08077 (2023) - [i9]Abhin Shah, Karthikeyan Shanmugam
, Murat Kocaoglu:
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge. CoRR abs/2306.11008 (2023) - [i8]Abhin Shah, Devavrat Shah, Gregory W. Wornell:
On Computationally Efficient Learning of Exponential Family Distributions. CoRR abs/2309.06413 (2023) - 2022
- [c8]Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja:
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge. AISTATS 2022: 5538-5562 - [c7]Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis:
Optimal Compression of Locally Differentially Private Mechanisms. AISTATS 2022: 7680-7723 - [c6]Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell:
Selective Regression under Fairness Criteria. ICML 2022: 19598-19615 - [i7]Abhin Shah, Raaz Dwivedi, Devavrat Shah, Gregory W. Wornell:
On counterfactual inference with unobserved confounding. CoRR abs/2211.08209 (2022) - 2021
- [c5]Abhin Shah, Devavrat Shah, Gregory W. Wornell:
On Learning Continuous Pairwise Markov Random Fields. AISTATS 2021: 1153-1161 - [c4]Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar:
Treatment Effect Estimation Using Invariant Risk Minimization. ICASSP 2021: 5005-5009 - [c3]Abhin Shah, Devavrat Shah, Gregory W. Wornell:
A Computationally Efficient Method for Learning Exponential Family Distributions. NeurIPS 2021: 15841-15854 - [i6]Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar:
Treatment Effect Estimation using Invariant Risk Minimization. CoRR abs/2103.07788 (2021) - [i5]Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja:
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge. CoRR abs/2106.11560 (2021) - [i4]Abhin Shah, Devavrat Shah, Gregory W. Wornell:
A Computationally Efficient Method for Learning Exponential Family Distributions. CoRR abs/2110.15397 (2021) - [i3]Abhin Shah, Yuheng Bu, Joshua Ka-Wing Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell:
Selective Regression Under Fairness Criteria. CoRR abs/2110.15403 (2021) - [i2]Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis:
Optimal Compression of Locally Differentially Private Mechanisms. CoRR abs/2111.00092 (2021) - 2020
- [i1]Abhin Shah, Devavrat Shah, Gregory W. Wornell:
On Learning Continuous Pairwise Markov Random Fields. CoRR abs/2010.15031 (2020)
2010 – 2019
- 2019
- [c2]Abhin Shah, Nikhil Karamchandani, Suhas N. Diggavi:
Coded Caching: Global vs Local Content Popularity. CWIT 2019: 1-6 - 2017
- [c1]Su Li, Abhin Shah, Michael Gastpar:
Cooperative data exchange with weighted cost based on d-basis construction. Allerton 2017: 421-428
Coauthor Index
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