Abhin Shah | DeepAI

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Featured Co-authors

Devavrat Shah
64 publications
Rameswar Panda
55 publications
Karthikeyan Shanmugam
50 publications
Prasanna Sattigeri
44 publications
Peter Kairouz
43 publications
Amit Dhurandhar
38 publications
Dennis Wei
37 publications
Lucas Theis
29 publications
Kartik Ahuja
25 publications
Gregory W. Wornell
25 publications
Yuheng Bu
24 publications

∙ 09/12/2023

On Computationally Efficient Learning of Exponential Family Distributions

We consider the classical problem of learning, with arbitrary accuracy, ...

0 Abhin Shah, et al. ∙

∙ 06/19/2023

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge

Causal effect estimation from data typically requires assumptions about ...

0 Abhin Shah, et al. ∙

∙ 02/16/2023

Group Fairness with Uncertainty in Sensitive Attributes

We consider learning a fair predictive model when sensitive attributes a...

0 Abhin Shah, et al. ∙

∙ 11/14/2022

On counterfactual inference with unobserved confounding

Given an observational study with n independent but heterogeneous units ...

0 Abhin Shah, et al. ∙

∙ 10/29/2021

Optimal Compression of Locally Differentially Private Mechanisms

Compressing the output of ϵ-locally differentially private (LDP) randomi...

2 Abhin Shah, et al. ∙

∙ 10/28/2021

Selective Regression Under Fairness Criteria

Selective regression allows abstention from prediction if the confidence...

9 Abhin Shah, et al. ∙

∙ 10/28/2021

A Computationally Efficient Method for Learning Exponential Family Distributions

We consider the question of learning the natural parameters of a k param...

4 Abhin Shah, et al. ∙

∙ 06/22/2021

Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge

Treatment effect estimation from observational data is a fundamental pro...

5 Abhin Shah, et al. ∙

∙ 03/13/2021

Treatment Effect Estimation using Invariant Risk Minimization

Inferring causal individual treatment effect (ITE) from observational da...

19 Abhin Shah, et al. ∙

∙ 10/28/2020

On Learning Continuous Pairwise Markov Random Fields

We consider learning a sparse pairwise Markov Random Field (MRF) with co...

19 Abhin Shah, et al. ∙

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