Search Results for author: Clement Canonne

Found 5 papers, 0 papers with code

Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition

no code implementations NeurIPS 2021 Jayadev Acharya, Clement Canonne, YuHan Liu, Ziteng Sun, Himanshu Tyagi

We obtain tight minimax rates for the problem of distributed estimation of discrete distributions under communication constraints, where $n$ users observing $m $ samples each can broadcast only $\ell$ bits.

Robust quantum minimum finding with an application to hypothesis selection

no code implementations26 Mar 2020 Yihui Quek, Clement Canonne, Patrick Rebentrost

We demonstrate a quantum algorithm for noisy quantum minimum-finding that preserves the quadratic speedup of the noiseless case: our algorithm runs in time $\tilde O(\sqrt{N (1+\Delta)})$, where $\Delta$ is an upper-bound on the number of elements within the interval $\alpha$, and outputs a good approximation of the true minimum with high probability.

Testing for Families of Distributions via the Fourier Transform

no code implementations NeurIPS 2018 Alistair Stewart, Ilias Diakonikolas, Clement Canonne

We study the general problem of testing whether an unknown discrete distribution belongs to a specified family of distributions.

Two-sample testing

An Adaptivity Hierarchy Theorem for Property Testing

no code implementations19 Feb 2017 Clement Canonne, Tom Gur

More accurately, we say that a tester is $k$-(round) adaptive if it makes queries in $k+1$ rounds, where the queries in the $i$'th round may depend on the answers obtained in the previous $i-1$ rounds.

Testing Bayesian Networks

no code implementations9 Dec 2016 Clement Canonne, Ilias Diakonikolas, Daniel Kane, Alistair Stewart

This work initiates a systematic investigation of testing high-dimensional structured distributions by focusing on testing Bayesian networks -- the prototypical family of directed graphical models.

Cannot find the paper you are looking for? You can Submit a new open access paper.