Search Results - "Vossler, Patrick"

Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors by Demirkaya, Emre, Fan, Yingying, Gao, Lan, Lv, Jinchi, Vossler, Patrick, Wang, Jingbo

“…The weighted nearest neighbors (WNN) estimator has been popularly used as a flexible and easy-to-implement nonparametric tool for mean regression estimation…”
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Asymptotic properties of high-dimensional random forests by Chi, Chien-Ming, Vossler, Patrick, Fan, Yingying, Lv, Jinchi

“…As a flexible nonparametric learning tool, the random forests algorithm has been widely applied to various real applications with appealing empirical…”
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Immigrants, Intersectionality and the Politics of Substantive Representation by Phillips, Christian Dyogi, Shah, Paru, Vossler, Patrick

“…In this paper, we develop a theory of intersectional substantive representation of and by immigrant communities grounded in two concepts: representational…”
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Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization by Johnston, Caroline M, Vossler, Patrick, Blessenohl, Simon, Vayanos, Phebe

“…Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2023). Association for Computing Machinery,…”
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Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features by Elzayn, Hadi, Black, Emily, Vossler, Patrick, Jo, Nathanael, Goldin, Jacob, Ho, Daniel E.

“…The vast majority of techniques to train fair models require access to the protected attribute (e.g., race, gender), either at train time or in production…”
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Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features by Elzayn, Hadi, Black, Emily, Vossler, Patrick, Jo, Nathanael, Goldin, Jacob, Ho, Daniel E

“…The vast majority of techniques to train fair models require access to the protected attribute (e.g., race, gender), either at train time or in production…”
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Dimension-Free Average Treatment Effect Inference with Deep Neural Networks by Du, Xinze, Fan, Yingying, Lv, Jinchi, Sun, Tianshu, Vossler, Patrick

“…This paper investigates the estimation and inference of the average treatment effect (ATE) using deep neural networks (DNNs) in the potential outcomes…”
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ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription by Vossler, Patrick, Aghaei, Sina, Justin, Nathan, Jo, Nathanael, Gómez, Andrés, Vayanos, Phebe

“…ODTLearn is an open-source Python package that provides methods for learning optimal decision trees for high-stakes predictive and prescriptive tasks based on…”
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Asymptotic Properties of High-Dimensional Random Forests by Chi, Chien-Ming, Vossler, Patrick, Fan, Yingying, Lv, Jinchi

“…As a flexible nonparametric learning tool, the random forests algorithm has been widely applied to various real applications with appealing empirical…”
Get full text

Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors by Demirkaya, Emre, Fan, Yingying, Gao, Lan, Lv, Jinchi, Vossler, Patrick, Wang, Jingbo

“…The weighted nearest neighbors (WNN) estimator has been popularly used as a flexible and easy-to-implement nonparametric tool for mean regression estimation…”
Get full text