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20002023
most citedImproved Bounds on Quantum Learning Algorithms

72 citations · 399 across the 60 of their papers we have counts for

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Showing 2012Show all

7 papers · 1 filter

cs.GT2012

The Inverse Shapley Value Problem

Anindya De, Ilias Diakonikolas, Rocco A. Servedio

For a weighted voting scheme used by voters to choose between two candidates, the \emph{Shapley-Shubik Indices} (or {\em Shapley values}) of provide a measure of ho…

cs.CC2012★ 1 cited

Inverse problems in approximate uniform generation

Anindya De, Ilias Diakonikolas, Rocco A. Servedio

We initiate the study of \emph{inverse} problems in approximate uniform generation, focusing on uniform generation of satisfying assignments of various types of Boolean functions.…

cs.DS2012

Testing probability distributions using conditional samples

Clement Canonne, Dana Ron, Rocco A. Servedio

We study a new framework for property testing of probability distributions, by considering distribution testing algorithms that have access to a conditional sampling oracle.* This…

cs.LG2012★ 56 cited

Learning mixtures of structured distributions over discrete domains

Siu-on Chan, Ilias Diakonikolas, Rocco A. Servedio +1

Let be a class of probability distributions over the discrete domain We show that if satisfies a rather general condition -- esse…

cs.CC2012

A robust Khintchine inequality, and algorithms for computing optimal constants in Fourier analysis and high-dimensional geometry

Anindya De, Ilias Diakonikolas, Rocco A. Servedio

This paper makes two contributions towards determining some well-studied optimal constants in Fourier analysis \newa{of Boolean functions} and high-dimensional geometry. \begin{enu…

cs.CC2012★ 1 cited

Nearly optimal solutions for the Chow Parameters Problem and low-weight approximation of halfspaces

Anindya De, Ilias Diakonikolas, Vitaly Feldman +1

The \emph{Chow parameters} of a Boolean function are its degree-0 and degree-1 Fourier coefficients. It has been known since 1961 (Chow, Tannenba…

cs.CC2012

On the Distribution of the Fourier Spectrum of Halfspaces

Ilias Diakonikolas, Ragesh Jaiswal, Rocco A. Servedio +2

Bourgain showed that any noise stable Boolean function can be well-approximated by a junta. In this note we give an exponential sharpening of the parameters of Bourgain's resul…