The conditional order type is a useful and efficient tool for sourcing block liquidity. In this paper, we seek to provide more clarity on conditional order function and the benefits in the context of ...

Causal discovery with prior knowledge is important for improving performance. We consider the incorporation of marginal causal relations, which correspond to the presence or absence of directed paths ...

Feature attributions based on the Shapley value are popular for explaining machine learning models. However, their estimation is complex from both theoretical and computational standpoints. We ...