Cooperative data exchange with weighted cost based on d-basis construction. - Su Li; Abhin Shah; Michael Gastpar (Allerton, 2017)

Coded Caching: Global vs Local Content Popularity. - Abhin Shah; Nikhil Karamchandani; Suhas N. Diggavi (CWIT, 2019)

On Learning Continuous Pairwise Markov Random Fields. - Abhin Shah; Devavrat Shah; Gregory W. Wornell (AISTATS, 2021)

Treatment Effect Estimation Using Invariant Risk Minimization. - Abhin Shah; Kartik Ahuja; Karthikeyan Shanmugam; Dennis Wei; Kush R. Varshney; Amit Dhurandhar (ICASSP, 2021)

A Computationally Efficient Method for Learning Exponential Family Distributions. - Abhin Shah; Devavrat Shah; Gregory W. Wornell (NeurIPS, 2021)

Optimal Compression of Locally Differentially Private Mechanisms. - Abhin Shah; Wei-Ning Chen; Johannes Ballé; Peter Kairouz; Lucas Theis (AISTATS, 2022)

Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge. - Abhin Shah; Karthikeyan Shanmugam; Kartik Ahuja (AISTATS, 2022)

Selective Regression under Fairness Criteria. - Abhin Shah; Yuheng Bu; Joshua K. Lee; Subhro Das; Rameswar Panda; Prasanna Sattigeri; Gregory W. Wornell (ICML, 2022)

On counterfactual inference with unobserved confounding. - Abhin Shah; Raaz Dwivedi; Devavrat Shah; Gregory W. Wornell (CoRR, 2022)

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge. - Abhin Shah; Karthikeyan Shanmugam; Murat Kocaoglu (NeurIPS, 2023)

Group Fairness with Uncertainty in Sensitive Attributes. - Abhin Shah; Maohao Shen; Jongha Jon Ryu; Subhro Das; Prasanna Sattigeri; Yuheng Bu; Gregory W. Wornell (CoRR, 2023)

On Computationally Efficient Learning of Exponential Family Distributions. - Abhin Shah; Devavrat Shah; Gregory W. Wornell (CoRR, 2023)

Group Fairness with Uncertain Sensitive Attributes. - Abhin Shah; Maohao Shen; Jongha Jon Ryu; Subhro Das; Prasanna Sattigeri; Yuheng Bu; Gregory W. Wornell (ISIT, 2024)

Doubly Robust Inference in Causal Latent Factor Models. - Alberto Abadie; Anish Agarwal; Raaz Dwivedi; Abhin Shah (CoRR, 2024)

A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation. - Jongha Jon Ryu; Abhin Shah; Gregory W. Wornell (CoRR, 2024)

Data-Rich Causal Inference. - Abhin Shah (SIGMETRICS Perform. Evaluation Rev., 2024)