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
54.72/100
前 6.6%
全站排名 #4,230
发表论文6 篇
平均评分
年均产出2.0 篇/年
Dimitri Meunier
研究方向
Kernel methods · Statistical learning theory
18
Regularized least squares learning with heavy-tailed noise is minimax optimal
NeurIPS 2025Spotlight
三作20
Demystifying Spectral Feature Learning for Instrumental Variable Regression
NeurIPS 2025Poster
一作17
Density Ratio-Free Doubly Robust Proxy Causal Learning
NeurIPS 2025Poster
三作12
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
ICLR 2025Poster
二作