activity
20102021
most citedLimits of Approximation Algorithms: PCPs and Unique Games (DIMACS Tutorial Lecture Notes)

4 citations · 7 across the 6 of their papers we have counts for

collaborators

9 papers

cs.DS2021

Near-Optimal Cayley Expanders for Abelian Groups

Akhil Jalan, Dana Moshkovitz

We give an efficient deterministic algorithm that outputs an expanding generating set for any finite abelian group. The size of the generating set is close to the randomized constr…

cs.CC2021

Strong Parallel Repetition for Unique Games on Small Set Expanders

Dana Moshkovitz

Strong Parallel Repetition for Unique Games on Small Set Expanders The strong parallel repetition problem for unique games is to efficiently reduce the 1-delta vs. 1-C*delta gap pr…

cs.CC2020

Reduction From Non-Unique Games To Boolean Unique Games

Ronen Eldan, Dana Moshkovitz

We reduce the problem of proving a "Boolean Unique Games Conjecture" (with gap 1-delta vs. 1-C*delta, for any C> 1, and sufficiently small delta>0) to the problem of proving a PCP…

cs.CC2016

A No-Go Theorem for Derandomized Parallel Repetition: Beyond Feige-Kilian

Dana Moshkovitz, Govind Ramnarayan, Henry Yuen

In this work we show a barrier towards proving a randomness-efficient parallel repetition, a promising avenue for achieving many tight inapproximability results. Feige and Kilian (…

cs.DS2015

Amplification and Derandomization Without Slowdown

Ofer Grossman, Dana Moshkovitz

We present techniques for decreasing the error probability of randomized algorithms and for converting randomized algorithms to deterministic (non-uniform) algorithms. Unlike most…

cs.DS2015

Approximating Dense Max 2-CSPs

Pasin Manurangsi, Dana Moshkovitz

In this paper, we present a polynomial-time algorithm that approximates sufficiently high-value Max 2-CSPs on sufficiently dense graphs to within approximation…

cs.DS2014★ 3 cited

Improved Approximation Algorithms for Projection Games

Pasin Manurangsi, Dana Moshkovitz

The projection games (aka Label-Cover) problem is of great importance to the field of approximation algorithms, since most of the NP-hardness of approximation results we know today…

cs.CC2014

AM with Multiple Merlins

Scott Aaronson, Russell Impagliazzo, Dana Moshkovitz

We introduce and study a new model of interactive proofs: AM(k), or Arthur-Merlin with k non-communicating Merlins. Unlike with the better-known MIP, here the assumption is that ea…

cs.CC2010★ 4 cited

Limits of Approximation Algorithms: PCPs and Unique Games (DIMACS Tutorial Lecture Notes)

Prahladh Harsha, Moses Charikar, Matthew Andrews +14

These are the lecture notes for the DIMACS Tutorial "Limits of Approximation Algorithms: PCPs and Unique Games" held at the DIMACS Center, CoRE Building, Rutgers University on 20-2…