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20062026
most citedPolynomial-Time Approximation Schemes for Knapsack and Related Counting Problems using Branching Programs

24 citations · 87 across the 36 of their papers we have counts for

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Showing cs.CCShow all

12 papers · 1 filter

cs.CC2025

The communication complexity of distributed estimation

Parikshit Gopalan, Raghu Meka, Prasad Raghavendra +2

We study an extension of the standard two-party communication model in which Alice and Bob hold probability distributions and over domains and , respectively. Their…

cs.CC2016★ 5 cited

Degree and Sensitivity: tails of two distributions

Parikshit Gopalan, Rocco Servedio, Avishay Tal +1

The sensitivity of a Boolean function f is the maximum over all inputs x, of the number of sensitive coordinates of x. The well-known sensitivity conjecture of Nisan (see also Nisa…

cs.CC2015★ 2 cited

Smooth Boolean functions are easy: efficient algorithms for low-sensitivity functions

Parikshit Gopalan, Noam Nisan, Rocco A. Servedio +2

A natural measure of smoothness of a Boolean function is its sensitivity (the largest number of Hamming neighbors of a point which differ from it in function value). The structure…

cs.CC2015★ 4 cited

Pseudorandomness via the discrete Fourier transform

Parikshit Gopalan, Daniel Kane, Raghu Meka

We present a new approach to constructing unconditional pseudorandom generators against classes of functions that involve computing a linear function of the inputs. We give an expl…

cs.CC2014★ 3 cited

Pseudorandomness for concentration bounds and signed majorities

Parikshit Gopalan, Daniel Kane, Raghu Meka

The problem of constructing pseudorandom generators that fool halfspaces has been studied intensively in recent times. For fooling halfspaces over the hypercube with polynomially s…

cs.CC2014★ 3 cited

Inequalities and tail bounds for elementary symmetric polynomial with applications

Parikshit Gopalan, Amir Yehudayoff

We study the extent of independence needed to approximate the product of bounded random variables in expectation, a natural question that has applications in pseudorandomness and m…

cs.CC2013

Locally Testable Codes and Cayley Graphs

Parikshit Gopalan, Salil Vadhan, Yuan Zhou

We give two new characterizations of ($\F_2$-linear) locally testable error-correcting codes in terms of Cayley graphs over $\F_2^h$: \begin{enumerate} \item A locally testable cod…

cs.CC2012

Better Pseudorandom Generators from Milder Pseudorandom Restrictions

Parikshit Gopalan, Raghu Meka, Omer Reingold +2

We present an iterative approach to constructing pseudorandom generators, based on the repeated application of mild pseudorandom restrictions. We use this template to construct pse…

cs.CC2012★ 4 cited

DNF Sparsification and a Faster Deterministic Counting Algorithm

Parikshit Gopala, Raghu Meka, Omer Reingold

Given a DNF formula on n variables, the two natural size measures are the number of terms or size s(f), and the maximum width of a term w(f). It is folklore that short DNF formulas…

cs.CC2011

Making the long code shorter, with applications to the Unique Games Conjecture

Boaz Barak, Parikshit Gopalan, Johan Hastad +3

The long code is a central tool in hardness of approximation, especially in questions related to the unique games conjecture. We construct a new code that is exponentially more eff…

cs.CC2009★ 2 cited

Bounded Independence Fools Halfspaces

Ilias Diakonikolas, Parikshit Gopalan, Ragesh Jaiswal +2

We show that any distribution on {-1,1}^n that is k-wise independent fools any halfspace h with error \eps for k = O(\log^2(1/\eps) /\eps^2). Up to logarithmic factors, our result…

cs.CC2006

The Connectivity of Boolean Satisfiability: Computational and Structural Dichotomies

Parikshit Gopalan, Phokion G. Kolaitis, Elitza Maneva +1

Boolean satisfiability problems are an important benchmark for questions about complexity, algorithms, heuristics and threshold phenomena. Recent work on heuristics, and the satisf…