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 ...

Empirical Bayesian methods occupy a unique position at the interface of frequentist and Bayesian paradigms by estimating prior distributions directly from observed data. This approach preserves the ...

Companies are spending enormous sums of money on AI systems, and we are now at a point where there are credible alternatives to Nvidia GPUs as the compute engines within these systems. Given the ...

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 ...