This paper applies methods from harmonic analysis to prove some general theorems on boolean functions. The result that is easiest to describe says that "Boolean functions always have small dominant sets of variables." The exact definitions will be given shortly, but let us be more specific: Let f be an n variable boolean function taking the value zero for half of the 2^n variable assignments. Then there is a set of o(n) variables such that almost surely the value of f is undetermined as long as these variables are not assigned values. This proves some of the conjectures made in [BL]. These new connections with..
• We consider the problem of measuring the influences of inputs for Boolean functions • A ”dictatori...
In this paper we study functions with low influences on product probability spaces. These are funct...
AbstractA Boolean function f(x1,…,xn) is elusive if every decision tree evaluating f must examine al...
This article accompanies a tutorial talk given at the 40th ACM STOC conference. In it, we give a bri...
This article accompanies a tutorial talk given at the 40th ACM STOC conference. In it, we give a bri...
This article accompanies a tutorial talk given at the 40th ACM STOC conference. In it, we give a bri...
We show that every function of several variables on a finite set of k elements with n > k essential ...
Boolean Function Analysis, the study of functions on the Boolean cube {0,1}^n, forms an essential pa...
Several noteworthy classes of Boolean functions can be characterized by algebraic identities (e.g. t...
AbstractSeveral noteworthy classes of Boolean functions can be characterized by algebraic identities...
. This note covers some basic definitions, terminology, and results on Boolean functions. Details ar...
In a recent work with Kindler and Wimmer we proved an invariance principle for the slice for low-inf...
Abstract: Let f: {−1,1}n → R be a real function on the hypercube, given by its discrete Fourier expa...
A Boolean function f(x1, x2, …, xn) is elusive if every decision tree computing f must examine all ...
One of the classic results in analysis of Boolean functions is a result of Friedgut [Fri98] that sta...
• We consider the problem of measuring the influences of inputs for Boolean functions • A ”dictatori...
In this paper we study functions with low influences on product probability spaces. These are funct...
AbstractA Boolean function f(x1,…,xn) is elusive if every decision tree evaluating f must examine al...
This article accompanies a tutorial talk given at the 40th ACM STOC conference. In it, we give a bri...
This article accompanies a tutorial talk given at the 40th ACM STOC conference. In it, we give a bri...
This article accompanies a tutorial talk given at the 40th ACM STOC conference. In it, we give a bri...
We show that every function of several variables on a finite set of k elements with n > k essential ...
Boolean Function Analysis, the study of functions on the Boolean cube {0,1}^n, forms an essential pa...
Several noteworthy classes of Boolean functions can be characterized by algebraic identities (e.g. t...
AbstractSeveral noteworthy classes of Boolean functions can be characterized by algebraic identities...
. This note covers some basic definitions, terminology, and results on Boolean functions. Details ar...
In a recent work with Kindler and Wimmer we proved an invariance principle for the slice for low-inf...
Abstract: Let f: {−1,1}n → R be a real function on the hypercube, given by its discrete Fourier expa...
A Boolean function f(x1, x2, …, xn) is elusive if every decision tree computing f must examine all ...
One of the classic results in analysis of Boolean functions is a result of Friedgut [Fri98] that sta...
• We consider the problem of measuring the influences of inputs for Boolean functions • A ”dictatori...
In this paper we study functions with low influences on product probability spaces. These are funct...
AbstractA Boolean function f(x1,…,xn) is elusive if every decision tree evaluating f must examine al...