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09/12/2023
On Computationally Efficient Learning of Exponential Family Distributions
We consider the classical problem of learning, with arbitrary accuracy, ...
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06/19/2023
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
Causal effect estimation from data typically requires assumptions about ...
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02/16/2023
Group Fairness with Uncertainty in Sensitive Attributes
We consider learning a fair predictive model when sensitive attributes a...
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11/14/2022
On counterfactual inference with unobserved confounding
Given an observational study with n independent but heterogeneous units ...
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10/29/2021
Optimal Compression of Locally Differentially Private Mechanisms
Compressing the output of ϵ-locally differentially private (LDP) randomi...
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10/28/2021
Selective Regression Under Fairness Criteria
Selective regression allows abstention from prediction if the confidence...
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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...
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06/22/2021
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge
Treatment effect estimation from observational data is a fundamental pro...
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03/13/2021
Treatment Effect Estimation using Invariant Risk Minimization
Inferring causal individual treatment effect (ITE) from observational da...
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10/28/2020