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06/01/2023
Calibrated Propensity Scores for Causal Effect Estimation
Propensity scores are commonly used to balance observed covariates while...
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02/23/2023
Online Calibrated Regression for Adversarially Robust Forecasting
Accurately estimating uncertainty is a crucial component of decision-mak...
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03/18/2022
Multi-Modal Causal Inference with Deep Structural Equation Models
Accounting for the effects of confounders is one of the central challeng...
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12/14/2021
Calibrated and Sharp Uncertainties in Deep Learning via Simple Density Estimation
Predictive uncertainties can be characterized by two properties–calibrat...
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12/08/2021