ArXiv TLDR

Arthur Gretton

3 papers · Latest:

Statistical Machine Learning

Semiparametric Efficient Test for Interpretable Distributional Treatment Effects

DR-ME is a new semiparametrically efficient test that identifies specific locations where treatment effects alter outcome distributions, unlike global tests.

2605.08034
Machine Learning

On the Wasserstein Gradient Flow Interpretation of Drifting Models

This paper analyzes Generative Modeling via Drifting (GMD) through Wasserstein Gradient Flows, revealing its connection to fixed points of WGFs.

2605.05118
Statistical Machine Learning

Instrumental Variable Analysis Without Structural Equations

This paper proposes a debiased inference method for instrumental variable analysis that does not require exact structural equations to exist.

2604.24660

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