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JungHo Lee

@jungholee.bsky.social
44 followers 102 following 1 posts

PhD student in Statistics & Data Science at CMU Causal inference, machine learning, nonparametric statistics with applications to social science jungholeestat.github.io

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Reposted by JungHo Lee
arxiv.stat.ME @arxiv-stat-me.bsky.social · 25/02/2025
Wenxuan Guo, Tengyuan Liang, Panos Toulis Gaussianized Design Optimization for Covariate Balance in Randomized Experiments arxiv.org/abs/2502.16042
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Reposted by JungHo Lee
alex hayes @alexpghayes.com · 10/02/2025
My work on network regression and mediation in latent space models is now published at JMLR! jmlr.org/papers/v26/2...
Screenshot of http://jmlr.org/papers/v26/23-1317.html
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Reposted by JungHo Lee
Lars van der Laan @larsvanderlaan3.bsky.social · 22/01/2025
Thrilled to share our new paper! We introduce a generalized autoDML framework for smooth functionals in general M-estimation problems, significantly broadening the scope of problems where automatic debiasing can be applied!
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Reposted by JungHo Lee
Ben Golub @bengolub.bsky.social · 17/01/2025
PLEASE RT :) Submit to the annual Network Science and Economics Conference, the largest US event for network theory and empirical research in and adjacent to economics Deadline Jan 30 (soon!) Conference Apr 11-13 at Stanford
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JungHo Lee @jungholee.bsky.social · 17/01/2025
Excited to share a new paper on ML-assisted randomization tests for detecting various treatment effects!
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