Statistical inference for binomial data addresses the analysis of outcomes that can take one of two values, typically termed “success” or “failure”. Central to this domain is the estimation of the ...
Conditional independence testing seeks to determine whether two random variables are independent given the value of a third. This concept underpins causal discovery, graphical modelling and variable ...
The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...
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