Sorry for delay in getting this month’s post out. This time we had seven (EDIT) eight (LATER EDIT) nine papers. Thanks to our readers for pointing out a paper we missed. Do let us know if we missed any (EDIT) others. Alright, without further delay, let us look at this month’s spread. Mildly Exponential Lower […]
We’re now back to our regular cadence of 4+ monthly papers on property testing and sublinear time algorithms. July brings us a new sublinear PageRank computation and numerous results on our trending topics of distribution and monotonicity testing. Without further delay, let’s see the July spread. Estimating Single-Node PageRank in \(\widetilde{O}(\min(d_t,\sqrt{m}))\) Time by Hanzhi Wang and Zhewei […]
After an empty month, the engines of PTReview are roaring back to life with a fresh batch of papers for this month’s edition. In total, we have four papers that are sure to pique your interest. It’s been an action-packed month with a diverse range of topics covered in the featured papers. The first paper […]
The first month of 2021 has brought with it 5 papers, covering graph testing, Boolean function testing, and distribution testing — as well as database theory. Let’s dive into it. Random walks and forbidden minors III: \(\mathrm{poly}(d/\varepsilon)\)-time partition oracles for minor-free graph classes, by Akash Kumar, C. Seshadhri, and Andrew Stolman (arXiv). Minor-closed bounded-degree graphs […]
April is now behind us, and we hope you and your families are all staying safe and healthy. We saw six seven property papers appear online last month, so at least there is some reading ahead of us! A mixture of privacy, quantum, high-dimensional distributions, and juntas (juntæ?). A lot of distribution testing, overall. Connecting […]
We hit the mother-lode of property testing papers this month. Stick with us, as we cover 10 (!) papers that appeared online in November. EDIT: We actually have 11 papers, check out Optimal Adaptive Detection of Monotone Patterns at the bottom. Testing noisy linear functions for sparsity, by Xue Chen, Anindya De, and Rocco A. […]
After a quite slow month of March, things sped up quite significantly in April: six different papers, ranging from graph testing to function testing to quantum distribution testing! Update (05/04): We missed one. Seven! Junta correlation is testable, by Anindya De, Elchanan Mossel, and Joe Neeman (arXiv). Junta testing really has seen a lot of […]
Minimax Testing of Identity to a Reference Ergodic Markov Chain, by Geoffrey Wolfer and Aryeh Kontorovich (arXiv). This work studies distributional identity testing on Markov chains from a single trajectory, as recently introduced by Daskalakis, Dikkala, and Gravin: we wish to test whether a Markov chain is equal to some reference chain, or far from […]
Three papers this month close out Summer 2018. Test without Trust: Optimal Locally Private Distribution Testing, by Jayadev Acharya, Clément L. Canonne, Cody Freitag, and Himanshu Tyagi (arXiv). This work studies distribution testing in the local privacy model. While private distribution testing has recently been studied, requiring that the algorithm’s output is differentially private with […]
The summer gets off to a flying start, with three property testing papers, spanning differential privacy, distribution testing, and juntas in Gaussian space! On closeness to \(k\)-wise uniformity, by Ryan O’Donnell and Yu Zhao (arXiv) In this paper, the authors consider the following structural question about probability distributions over the Boolean hypercube \(\{-1,1\}^n\): ” what […]