arXiv:2606. 15393v1 Announce Type: cross Abstract: Scientific discovery relies on large-scale hypothesis testing.
By Binyamin Perets, Shie Mannor
arXiv:2312. 00305v3 Announce Type: replace-cross Abstract: Many important tasks of large-scale recommender systems can be naturally cast as testing multiple linear forms for noisy matrix completion.
By Wanteng Ma, Lilun Du, Dong Xia, Ming Yuan
arXiv:2607. 09449v1 Announce Type: new Abstract: Bayesian causal discovery is widely used for its ability to quantify epistemic uncertainty over directed acyclic graphs (DAGs) through posterior inference.
By Debargha Ghosh, Silja Renooij, Anna Kononova
arXiv:2605. 20726v2 Announce Type: replace-cross Abstract: Modern applications of conformal inference to multiple testing problems, such as outlier detection and candidate selection, often involve selecting test samples whose conformal p-values fall below a threshold.
By Ziang Song, Ying Jin, Emmanuel J. Cand\`es
arXiv:2606.06332v2 Announce Type: replace-cross
Abstract: Asymptotic e-values are emerging as a powerful alternative to asymptotic p-values, particularly in post-hoc inference and multiple testing, w...
By Diego Martinez-Taboada, Ben Chugg, Aaditya Ramdas
arXiv:2609.26705v1 Announce Type: cross
Abstract: A fundamental question in physics is: When does classical behavior emerge from quantum systems? Bosonic Gaussian states provide a natural setting to...
By Senrui Chen, Antonio Anna Mele, Francesco Anna Mele, John Preskill