Consistent Kernel Mean Estimation for Functions of Random Variables
Adam Scibior, Carl-Johann Simon-Gabriel, Ilya O. Tolstikhin, Bernhard Schölkopf
–Neural Information Processing Systems
Our results extend to functions of multiple random variables. If the variables are dependent, we require an estimator of the mean embedding of their joint distribution as a starting point; if they are independent, it is sufficient to have separate estimators of the mean embeddings of their marginal distributions.
Neural Information Processing Systems
Nov-21-2025, 06:09:14 GMT
- Country:
- Asia > Japan
- Honshū > Kantō > Kanagawa Prefecture (0.05)
- Europe
- Germany > Baden-Württemberg
- Tübingen Region > Tübingen (0.14)
- Netherlands > North Holland
- Amsterdam (0.04)
- Spain > Catalonia
- Barcelona Province > Barcelona (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Germany > Baden-Württemberg
- Oceania > Australia
- Queensland (0.04)
- Asia > Japan
- Genre:
- Research Report > New Finding (0.35)
- Technology: