Under Review (Statistics/Econometrics)
Semiparametric Shape-restricted Estimators for Nonparametric Regression
paper
| code
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2023
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Doubly Robust Machine Learning for an Instrumental Variable Study of
paper
Surgical Care for Cholecystitis |
2023
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Debiased Inference for a Covariate-Adjusted Regression Function
(Honorable mention for Best Student Paper at SLDS 2023) |
paper
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2023
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Publication in Computer Science
U-Statistics for Importance-Weighted Variational Inference
Transactions on Machine Learning Research |
paper
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2023
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Learning from Discriminatory Training Data
AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society |
paper
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2023
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Causal Inference using Gaussian Processes with Structured Latent Confounders
ICML |
paper
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2020
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A General Framework for Counterfactual Learning-to-Rank
International ACM SIGIR |
paper
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2019
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