Symbolic regression, the task of extracting mathematical expressions from observed data, plays a crucial role in scientific discovery. Despite promising performance existing methods, most them conduct symbolic regression an offline setting. That is, they treat data points as given ones that are simply sampled uniform distributions without exploring expressive potential data. However, for real-w...

Recommendation from implicit feedback is a highly challenging task due to the lack of reliable negative feedback data. Existing methods address this challenge by treating all un-observed data as (dislike) but downweight confidence these However, treatment causes two problems: (1) Confidence wei...