Wenxuan Guo, Tengyuan Liang, Panos Toulis
Gaussianized Design Optimization for Covariate Balance in Randomized Experiments
https://arxiv.org/abs/2502.16042
25.02.2025 08:16 — 👍 1 🔁 1 💬 0 📌 0
Screenshot of http://jmlr.org/papers/v26/23-1317.html
My work on network regression and mediation in latent space models is now published at JMLR!
jmlr.org/papers/v26/2...
10.02.2025 23:30 — 👍 26 🔁 6 💬 2 📌 0
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!
22.01.2025 13:54 — 👍 18 🔁 7 💬 1 📌 0
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
17.01.2025 22:40 — 👍 86 🔁 81 💬 4 📌 4
Excited to share a new paper on ML-assisted randomization tests for detecting various treatment effects!
17.01.2025 03:43 — 👍 7 🔁 1 💬 0 📌 0
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Mathematics -- Statistics Theory (math.ST)
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Statistician | Assistant professor @ Brown University Dept of Biostatistics | Developing nonparametric Bayesian methods for causal inference.
Research site: stablemarkets.netlify.app
#statsky
Prof. Most tweets about R. “Polisci, it’s all about what’s going on.”
http://arelbundock.com
Managing Editor, Journal of Business Ethics | Member - Committee on Publication Ethics/International Society of Managing & Technical Editors/SSP Member
back in the day you could just get into fights with Nobel laureates in the comments section of obscure forums
ML research person
🚬🐀🌌
Math Assoc. Prof. at Aix-Marseille (France)
Currently on Sabbatical at CRM-CNRS, Université de Montréal
https://sites.google.com/view/sebastien-darses/welcome
Teaching Project (non-profit): https://highcolle.com/
Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org
Building ML systems at startups | Previously: economic development in MENA/LatAm | MA thesis on counternarcotics→counterterror evolution | Analyzing causality, geopolitics & tech
PhD candidate @Wharton OID. Interests: causal inference, partial identification, fairness, discrimination
The National Bureau of Economic Research is dedicated to conducting and disseminating nonpartisan economic research.
nber.org
Research director | @McGillU @Mila_Quebec @IVADO_Qc | My team designs machine learning frameworks to understand biological systems from new angles of attack
Philosophy and Game Theory at Carnegie Mellon 🦚 Research the interface between philosophy, economics, and biology 💱 www.kevinzollman.com
Post-doc: Causal machine learning, causality, data science, statistics, econometrics ; https://philippbach.github.io/
Recently graduated with a PhD in Sociology from UW-Madison. Currently working as a research scientist at Meta. Studying causal inference. https://ang-yu.github.io/
machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean
https://www.claudiashi.com/
Actionable #causalinference with real-world impact.
We use health data to help decision makers make better decisions.
We train investigators at Harvard T.H. Chan School of Public Health.
Connect with CAUSALab: https://linktr.ee/causalab
Asst. Prof. of Criminology, Statistics & Data Science @Penn. Research in statistics+law, causal inference, and forensic science.
