影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
27.88/100
前 27%
全站排名 #17,374
发表论文4 篇
平均评分
年均产出2.0 篇/年
David Arbour
研究方向
experimental design · experimentation · causal inference · causal discovery · relational learning · network analysis · observational causal inference
18
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
NeurIPS 2025Poster
二作16
Traceable and Explainable Multimodal Large Language Models: An Information-Theoretic View
COLM 2025Poster
21
Leveraging semantic similarity for experimentation with AI-generated treatments
NeurIPS 2025Poster
二作