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09/18/2023
Error Reduction from Stacked Regressions
Stacking regressions is an ensemble technique that forms linear combinat...
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07/04/2023
MDI+: A Flexible Random Forest-Based Feature Importance Framework
Mean decrease in impurity (MDI) is a popular feature importance measure ...
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10/17/2022
A Mixing Time Lower Bound for a Simplified Version of BART
Bayesian Additive Regression Trees (BART) is a popular Bayesian non-para...
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10/18/2021
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds
Decision trees are important both as interpretable models amenable to hi...
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08/23/2020
Stable discovery of interpretable subgroups via calibration in causal studies
Building on Yu and Kumbier's PCS framework and for randomized experiment...
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05/16/2020
Curating a COVID-19 data repository and forecasting county-level death counts in the United States
As the COVID-19 outbreak continues to evolve, accurate forecasting conti...
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10/28/2019
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval
In recent literature, a general two step procedure has been formulated f...
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12/12/2017
Sparse Phase Retrieval via Sparse PCA Despite Model Misspecification: A Simplified and Extended Analysis
We consider the problem of high-dimensional misspecified phase retrieval...
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04/04/2017