47 citations · 73 across the 7 of their papers we have counts for
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stat.ML2023★ 1 cited
Minimax Statistical Estimation under Wasserstein Contamination
Patrick Chao, Edgar Dobriban
Contaminations are a key concern in modern statistical learning, as small but systematic perturbations of all datapoints can substantially alter estimation results. Here, we study…
stat.ML2023★ 4 cited
Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries
Patrick Chao, Patrick Blöbaum, Sapan Patel +1
We consider the problem of answering observational, interventional, and counterfactual queries in a causally sufficient setting where only observational data and the causal graph a…
stat.ML2017★ 2 cited
The Stochastic Replica Approach to Machine Learning: Stability and Parameter Optimization
Patrick Chao, Tahereh Mazaheri, Bo Sun +2
We introduce a statistical physics inspired supervised machine learning algorithm for classification and regression problems. The method is based on the invariances or stability of…