Abhin Shah

24 papers A* 4A 3B 1Misc 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation.
ICML
Jongha Jon Ryu, Abhin Shah, Gregory W. Wornell
2024 J jnl
A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation.
CoRR
Jongha Jon Ryu, Abhin Shah, Gregory W. Wornell
2024 J jnl
Data-Rich Causal Inference.
SIGMETRICS Perform. Evaluation Rev.
Abhin Shah
2024 J jnl
Doubly Robust Inference in Causal Latent Factor Models.
CoRR
Alberto Abadie, Anish Agarwal, Raaz Dwivedi, Abhin Shah
2024 B conf
Group Fairness with Uncertain Sensitive Attributes.
ISIT
Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell
2023 A* conf
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge.
NeurIPS
Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
2023 J jnl
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge.
CoRR
Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
2023 J jnl
Group Fairness with Uncertainty in Sensitive Attributes.
CoRR
Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell
2023 J jnl
On Computationally Efficient Learning of Exponential Family Distributions.
CoRR
Abhin Shah, Devavrat Shah, Gregory W. Wornell
2022 A conf
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge.
AISTATS
Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja
2022 J jnl
On counterfactual inference with unobserved confounding.
CoRR
Abhin Shah, Raaz Dwivedi, Devavrat Shah, Gregory W. Wornell
2022 A conf
Optimal Compression of Locally Differentially Private Mechanisms.
AISTATS
Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis
2022 A* conf
Selective Regression under Fairness Criteria.
ICML
Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
2021 A* conf
A Computationally Efficient Method for Learning Exponential Family Distributions.
NeurIPS
Abhin Shah, Devavrat Shah, Gregory W. Wornell
2021 J jnl
A Computationally Efficient Method for Learning Exponential Family Distributions.
CoRR
Abhin Shah, Devavrat Shah, Gregory W. Wornell
2021 J jnl
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge.
CoRR
Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja
2021 A conf
On Learning Continuous Pairwise Markov Random Fields.
AISTATS
Abhin Shah, Devavrat Shah, Gregory W. Wornell
2021 J jnl
Optimal Compression of Locally Differentially Private Mechanisms.
CoRR
Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz, Lucas Theis
2021 J jnl
Selective Regression Under Fairness Criteria.
CoRR
Abhin Shah, Yuheng Bu, Joshua Ka-Wing Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
2021 Misc conf
Treatment Effect Estimation Using Invariant Risk Minimization.
ICASSP
Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar
2021 J jnl
Treatment Effect Estimation using Invariant Risk Minimization.
CoRR
Abhin Shah, Kartik Ahuja, Karthikeyan Shanmugam, Dennis Wei, Kush R. Varshney, Amit Dhurandhar
2020 J jnl
On Learning Continuous Pairwise Markov Random Fields.
CoRR
Abhin Shah, Devavrat Shah, Gregory W. Wornell
2019 — conf
Coded Caching: Global vs Local Content Popularity.
CWIT
Abhin Shah, Nikhil Karamchandani, Suhas N. Diggavi
2017 — conf
Cooperative data exchange with weighted cost based on d-basis construction.
Allerton
Su Li, Abhin Shah, Michael Gastpar