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20062022
most citedTight Analyses for Non-Smooth Stochastic Gradient Descent

21 citations · 101 across the 20 of their papers we have counts for

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9 papers · 1 filter

cs.DS2018★ 4 cited

Greedy and Local Ratio Algorithms in the MapReduce Model

Nicholas J. A. Harvey, Christopher Liaw, Paul Liu

MapReduce has become the de facto standard model for designing distributed algorithms to process big data on a cluster. There has been considerable research on designing efficient…

cs.DS2016★ 4 cited

Computing the Independence Polynomial: from the Tree Threshold down to the Roots

Nicholas J. A. Harvey, Piyush Srivastava, Jan Vondrák

We study an algorithm for approximating the multivariate independence polynomial , with negative and complex arguments, an object that has strong connections to comb…

cs.DS2015

An Algorithmic Proof of the Lovasz Local Lemma via Resampling Oracles

Nicholas Harvey, Jan Vondrak

The Lovasz Local Lemma is a seminal result in probabilistic combinatorics. It gives a sufficient condition on a probability space and a collection of events for the existence of an…

cs.DS2013

Pipage Rounding, Pessimistic Estimators and Matrix Concentration

Nicholas J. A. Harvey, Neil Olver

Pipage rounding is a dependent random sampling technique that has several interesting properties and diverse applications. One property that has been particularly useful is negativ…

cs.DS2010

Submodular Functions: Learnability, Structure, and Optimization

Maria-Florina Balcan, Nicholas J. A. Harvey

Submodular functions are discrete functions that model laws of diminishing returns and enjoy numerous algorithmic applications. They have been used in many areas, including combina…

cs.DS2010★ 6 cited

Graph Sparsification by Edge-Connectivity and Random Spanning Trees

Wai Shing Fung, Nicholas J. A. Harvey

We present new approaches to constructing graph sparsifiers --- weighted subgraphs for which every cut has the same value as the original graph, up to a factor of . Our…