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20162026
most citedOptimal Hashing-based Time-Space Trade-offs for Approximate Near Neighbors

48 citations · 79 across the 36 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.DS2019

Optimal Adaptive Detection of Monotone Patterns

Omri Ben-Eliezer, Shoham Letzter, Erik Waingarten

We investigate adaptive sublinear algorithms for detecting monotone patterns in an array. Given fixed and , consider the problem of findi…

cs.DS2019

Random Restrictions of High-Dimensional Distributions and Uniformity Testing with Subcube Conditioning

Clément L. Canonne, Xi Chen, Gautam Kamath +2

We give a nearly-optimal algorithm for testing uniformity of distributions supported on , which makes queries to a subcube condition…

cs.DS2019

Approximating the Distance to Monotonicity of Boolean Functions

Ramesh Krishnan S. Pallavoor, Sofya Raskhodnikova, Erik Waingarten

We design a nonadaptive algorithm that, given oracle access to a function which is -far from monotone, makes poly queries and returns an est…

cs.DS2019★ 4 cited

Finding monotone patterns in sublinear time

Omri Ben-Eliezer, Clément L. Canonne, Shoham Letzter +1

We study the problem of finding monotone subsequences in an array from the viewpoint of sublinear algorithms. For fixed and , we show that the n…

cs.DS2019★ 3 cited

Nearly optimal edge estimation with independent set queries

Xi Chen, Amit Levi, Erik Waingarten

We study the problem of estimating the number of edges of an unknown, undirected graph with access to an independent set oracle. When queried about a subset $S\subseteq…

cs.DS2019

Testing Unateness Nearly Optimally

Xi Chen, Erik Waingarten

We present an -query algorithm that tests whether an unknown Boolean function is unate (i.e., every variable is either…

cs.DS2019★ 2 cited

On Mean Estimation for General Norms with Statistical Queries

Jerry Li, Aleksandar Nikolov, Ilya Razenshteyn +1

We study the problem of mean estimation for high-dimensional distributions, assuming access to a statistical query oracle for the distribution. For a normed space $X = (\mathbb{R}^…