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Valentyn Melnychuk

Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner

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Nov 05, 2024
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Causal machine learning for predicting treatment outcomes

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Oct 11, 2024
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DiffPO: A causal diffusion model for learning distributions of potential outcomes

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Oct 11, 2024
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Conformal Prediction for Causal Effects of Continuous Treatments

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Jul 03, 2024
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G-Transformer for Conditional Average Potential Outcome Estimation over Time

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May 31, 2024
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A Neural Framework for Generalized Causal Sensitivity Analysis

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Nov 27, 2023
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Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation

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Nov 19, 2023
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Counterfactual Fairness for Predictions using Generative Adversarial Networks

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Oct 26, 2023
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Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation

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Oct 26, 2023
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Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model

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Jun 02, 2023
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