18 citations · 18 across the 7 of their papers we have counts for
7 papers
Seeing the Forest for the Trees: The Gaussian Process Limit of BART
Cory McCartan, Melody Huang
Bayesian Additive Regression Trees (BART) have shown state-of-the-art performance in both prediction and causal inference problems. Previous theoretical work has attempted to expla…
Estimating Consensus Ideal Points Using Multi-Source Data
Mellissa Meisels, Melody Huang, Tiffany M. Tang
In the advent of big data and machine learning, researchers now have a wealth of congressional candidate ideal point estimates at their disposal for theory testing. Weak relationsh…
OpenAI GPT-5 System Card
Aaditya Singh, Adam Fry, Adam Perelman +483
This is the system card published alongside the OpenAI GPT-5 launch, August 2025. GPT-5 is a unified system with a smart and fast model that answers most questions, a deeper reason…
Relative Bias Under Imperfect Identification in Observational Causal Inference
Melody Huang, Cory McCartan
To conduct causal inference in observational settings, researchers must rely on certain identifying assumptions. In practice, these assumptions are unlikely to hold exactly. This p…
Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference
Melody Huang, Tiffany M. Tang, Ana M. Kenney
Recent methodological developments have introduced new black-box approaches to better estimate heterogeneous treatment effects; however, these methods fall short of providing inter…
Overlap violations in external validity
Melody Huang
Estimating externally valid causal effects is a foundational problem in the social and biomedical sciences. Generalizing or transporting causal estimates from an experimental sampl…
Towards Generalizing Inferences from Trials to Target Populations
Melody Y Huang, Harsh Parikh
Randomized Controlled Trials (RCTs) are pivotal in generating internally valid estimates with minimal assumptions, serving as a cornerstone for researchers dedicated to advancing c…