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Dive into the research topics where Prahladh Harsha is active.

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Featured researches published by Prahladh Harsha.


SIAM Journal on Computing | 2006

Robust PCPs of Proximity, Shorter PCPs, and Applications to Coding

Eli Ben-Sasson; Oded Goldreich; Prahladh Harsha; Madhu Sudan; Salil P. Vadhan

We continue the study of the trade-off between the length of probabilistically checkable proofs (PCPs) and their query complexity, establishing the following main results (which refer to proofs of satisfiability of circuits of size


SIAM Journal on Computing | 2005

Some 3CNF Properties Are Hard to Test

Eli Ben-Sasson; Prahladh Harsha; Sofya Raskhodnikova

n


conference on computational complexity | 2007

The Communication Complexity of Correlation

Prahladh Harsha; Rahul Jain; David A. McAllester; Jaikumar Radhakrishnan

): 1. We present PCPs of length


Theory of Computing | 2009

Bounding the Sensitivity of Polynomial Threshold Functions

Prahladh Harsha; Adam R. Klivans; Raghu Meka

\exp(o(\log\log n)^2)\cdot n


symposium on the theory of computing | 2003

Some 3CNF properties are hard to test

Eli Ben-Sasson; Prahladh Harsha; Sofya Raskhodnikova

that can be verified by making


ACM Transactions on Computation Theory | 2009

Sound 3-Query PCPPs Are Long

Eli Ben-Sasson; Prahladh Harsha; Oded Lachish; Arie Matsliah

o(\log\log n)


symposium on theoretical aspects of computer science | 2001

Small PCPs with Low Query Complexity

Prahladh Harsha; Madhu Sudan

Boolean queries. 2. For every \epsilon>0, we present PCPs of length


SIAM Journal on Computing | 2013

Composition of Low-Error 2-Query PCPs Using Decodable PCPs

Irit Dinur; Prahladh Harsha

\exp(\log^\epsilon n)\cdot n


international colloquium on automata, languages and programming | 2004

Communication Versus Computation

Prahladh Harsha; Yuval Ishai; Joe Kilian; Kobbi Nissim; Srinivasan Venkatesh

that can be verified by making a constant number of Boolean queries. In both cases, false assertions are rejected with constant probability (which may be set to be arbitrarily close to 1). The multiplicative overhead on the length of the proof, introduced by transforming a proof into a probabilistically checkable one, is just quasi polylogarithmic in the first case (of query complexity


international workshop and international workshop on approximation, randomization, and combinatorial optimization. algorithms and techniques | 2016

On Polynomial Approximations to AC 0

Prahladh Harsha; Srikanth Srinivasan

o(\log\log n)

Collaboration


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Irit Dinur

Weizmann Institute of Science

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Srikanth Srinivasan

Indian Institute of Technology Bombay

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Eli Ben-Sasson

Radcliffe Institute for Advanced Study

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Girish Varma

Tata Institute of Fundamental Research

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Yuval Filmus

Technion – Israel Institute of Technology

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Jaikumar Radhakrishnan

Tata Institute of Fundamental Research

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Oded Goldreich

Weizmann Institute of Science

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Abhishek Bhrushundi

Chennai Mathematical Institute

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Adam R. Klivans

University of Texas at Austin

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