1 citations · 1 across the 5 of their papers we have counts for
5 papers
Covariance-Driven Regression Trees: Reducing Overfitting in CART
Likun Zhang, Wei Ma
Decision trees are powerful machine learning algorithms, widely used in fields such as economics and medicine for their simplicity and interpretability. However, decision trees suc…
Assumption-lean covariate adjustment under covariate adaptive randomization when
Yujia Gu, Lin Liu, Wei Ma
Adjusting for (baseline) covariates with working regression models becomes standard practice in the analysis of randomized clinical trials (RCT). When the dimension of the cova…
CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics
Weida Wang, Dongchen Huang, Jiatong Li +32
We introduce CMPhysBench, designed to assess the proficiency of Large Language Models (LLMs) in Condensed Matter Physics, as a novel Benchmark. CMPhysBench is composed of more than…
Random Discounting and Assessment of Intertemporal Projects: a Non-expected Utility Approach
Wei Ma
This paper assumes each individual in society has a random discount factor and assesses an intertemporal project using rank-dependent expected utility theory. We consider both the…
Minimax Optimal Design with Spillover and Carryover Effects
Haoyang Yu, Wei Ma, Hanzhong Liu
In various applications, the potential outcome of a unit may be influenced by the treatments received by other units, a phenomenon known as interference, as well as by prior treatm…