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09/18/2023
Invariant Probabilistic Prediction
In recent years, there has been a growing interest in statistical method...
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07/18/2023
Causality-oriented robustness: exploiting general additive interventions
Since distribution shifts are common in real-world applications, there i...
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07/03/2023
Engression: Extrapolation for Nonlinear Regression?
Extrapolation is crucial in many statistical and machine learning applic...
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06/17/2022
Reframed GES with a Neural Conditional Dependence Measure
In a nonparametric setting, the causal structure is often identifiable o...
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03/31/2022
To ArXiv or not to ArXiv: A Study Quantifying Pros and Cons of Posting Preprints Online
Double-blind conferences have engaged in debates over whether to allow a...
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01/08/2022
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction
In a modern power system, real-time data on power generation/consumption...
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07/06/2020
Surprise sampling: improving and extending the local case-control sampling
Fithian and Hastie (2014) proposed a new sampling scheme called local ca...
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04/18/2020
