Shah, Abhin

8 publications

ICML 2025 A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation Jongha Jon Ryu, Abhin Shah, Gregory W. Wornell

NeurIPS 2023 Front-Door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu

AISTATS 2022 Finding Valid Adjustments Under Non-Ignorability with Minimal DAG Knowledge Abhin Shah, Karthikeyan Shanmugam, Kartik Ahuja

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

NeurIPSW 2022 On Counterfactual Inference with Unobserved Confounding Abhin Shah, Raaz Dwivedi, Devavrat Shah, Gregory Wornell

ICML 2022 Selective Regression Under Fairness Criteria Abhin Shah, Yuheng Bu, Joshua K Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W Wornell

AISTATS 2021 On Learning Continuous Pairwise Markov Random Fields Abhin Shah, Devavrat Shah, Gregory Wornell

NeurIPS 2021 A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah, Devavrat Shah, Gregory Wornell