This research is motivated by the Circuit Value Problem; this problem is well known to be inherently sequential. We consider Boolean Circuits with descriptions of length d that consist of gates with a fixed fan-in f and a constant number of inputs. Assuming uniform distribution of descriptions, we show that such a circuit has expected depth O(log d). This improves on the best known result. More precisely, we prove for circuits of size n their depth is asymptotically ef ln n with extremely high probability. Our proof uses the coupling technique to bound circuit depth from above and below by those of two alternative discrete time processes. We are able to establish the result by embedding the processes in suitable continuous time branching pr...
We show that unbounded fan-in boolean formulas of depth d + 1 and size s have average sensitivity O ...
An important problem in theoretical computer science is to develop methods for estimating the comple...
© Lijie Chen and R. Ryan Williams; licensed under Creative Commons License CC-BY 34th Computational ...
This research is motivated by the Circuit Value Problem; this problem is well known to be inherently...
. This research is motivated by the Circuit Value Problem; this problem is well known to be inherent...
In this paper we analyze the expected depth of a circuit randomly generated from a uniform model. We...
This paper studies uniformly distributed size n circuits (labelled acyclic graphs) consisting of bin...
In this paper we analyse the expected depth of random circuits of fixed fanin f . Such circuits are ...
In this paper we analyse the expected depth of random circuits of fixed fanin f. Such circuits are b...
We consider the class of constant depth AND/OR circuits augmented with a layer of modular counting g...
Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A...
Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A...
In a celebrated result Linial et al. [3] gave an algorithm which learns size-s depth-d AND/OR/NOT ci...
We consider boolean circuits in which every gate may compute an arbitrary boolean function of k othe...
AbstractIn contrast to machine models like Turing machines or random access machines, circuits are a...
We show that unbounded fan-in boolean formulas of depth d + 1 and size s have average sensitivity O ...
An important problem in theoretical computer science is to develop methods for estimating the comple...
© Lijie Chen and R. Ryan Williams; licensed under Creative Commons License CC-BY 34th Computational ...
This research is motivated by the Circuit Value Problem; this problem is well known to be inherently...
. This research is motivated by the Circuit Value Problem; this problem is well known to be inherent...
In this paper we analyze the expected depth of a circuit randomly generated from a uniform model. We...
This paper studies uniformly distributed size n circuits (labelled acyclic graphs) consisting of bin...
In this paper we analyse the expected depth of random circuits of fixed fanin f . Such circuits are ...
In this paper we analyse the expected depth of random circuits of fixed fanin f. Such circuits are b...
We consider the class of constant depth AND/OR circuits augmented with a layer of modular counting g...
Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A...
Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A...
In a celebrated result Linial et al. [3] gave an algorithm which learns size-s depth-d AND/OR/NOT ci...
We consider boolean circuits in which every gate may compute an arbitrary boolean function of k othe...
AbstractIn contrast to machine models like Turing machines or random access machines, circuits are a...
We show that unbounded fan-in boolean formulas of depth d + 1 and size s have average sensitivity O ...
An important problem in theoretical computer science is to develop methods for estimating the comple...
© Lijie Chen and R. Ryan Williams; licensed under Creative Commons License CC-BY 34th Computational ...