26 citations · 39 across the 18 of their papers we have counts for
4 papers · 1 filter
Causal-DRF: Conditional Kernel Treatment Effect Estimation using Distributional Random Forest
Jeffrey Näf, Junhyung Park, Herbert Susmann
The conditional average treatment effect (CATE) is a commonly targeted statistical parameter for measuring the effect of a treatment conditional on covariates. However, the CATE wi…
Benign Overfitting for Regression with Trained Two-Layer ReLU Networks
Junhyung Park, Patrick Bloebaum, Shiva Prasad Kasiviswanathan
We study the least-square regression problem with a two-layer fully-connected neural network, with ReLU activation function, trained by gradient flow. Our first result is a general…
Products, Abstractions and Inclusions of Causal Spaces
Simon Buchholz, Junhyung Park, Bernhard Schölkopf
Causal spaces have recently been introduced as a measure-theoretic framework to encode the notion of causality. While it has some advantages over established frameworks, such as st…
Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
Sisi Shao, Junhyung Park, Weng Kee Wong
General purpose optimization routines such as nlminb, optim (R) or nlmixed (SAS) are frequently used to estimate model parameters in nonstandard distributions. This paper presents…