Yash Pote

@probabilistica.bsky.social

I am a Postdoc at NUS. I work on distribution testing, and probabilistic formal methods.

New preprint up, led by Joy (Qiping) Yang and Yash Pote, with Jonathan Scarlett: we consider a relaxation of the standard (distribution) closeness testing task, where the algo now only needs to distinguish between p=q (equal) and |H(p)-H(q)|=Ω(1) (their entropies differ). 📝 arxiv.org/abs/2605.23225

Entropy Equivalence Testing

We introduce the problem of \emph{entropy equivalence testing} for probability distributions, a relaxation of the well-studied closeness testing problem, where the distribution testing algorithm is no...

arxiv.org