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Giovanni Parmigiani

Multi-source domain adaptation for regression

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Dec 09, 2023
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Multi-study R-learner for Heterogeneous Treatment Effect Estimation

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Jun 16, 2023
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Defining Replicability of Prediction Rules

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Apr 30, 2023
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Multi-Task Learning for Sparsity Pattern Heterogeneity: A Discrete Optimization Approach

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Dec 16, 2022
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Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling

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Jul 13, 2022
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Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation

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Oct 02, 2021
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Prediction of Hereditary Cancers Using Neural Networks

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Jun 25, 2021
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Cross-Cluster Weighted Forests

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May 17, 2021
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Extending Models Via Gradient Boosting: An Application to Mendelian Models

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May 13, 2021
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Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations

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Jun 20, 2020
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