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20152026
most citedTensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

22 citations · 57 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.DS2018

Constant Arboricity Spectral Sparsifiers

Timothy Chu, Michael B. Cohen, Jakub W. Pachocki +1

We show that every graph is spectrally similar to the union of a constant number of forests. Moreover, we show that Spielman-Srivastava sparsifiers are the union of O(logn) forests…

cs.DS2016

Geometric Median in Nearly Linear Time

Michael B. Cohen, Yin Tat Lee, Gary Miller +2

In this paper we provide faster algorithms for solving the geometric median problem: given points in compute a point that minimizes the sum of Euclidean distan…

cs.DS2016

Analysis of Resparsification

Jakub Pachocki

We show that schemes for sparsifying matrices based on iteratively resampling rows yield guarantees matching classic 'offline' sparsifiers (see e.g. Spielman and Srivastava [STOC 2…

cs.DS2016

Online Row Sampling

Michael B. Cohen, Cameron Musco, Jakub Pachocki

Finding a small spectral approximation for a tall matrix is a fundamental numerical primitive. For a number of reasons, one often seeks an approximation whose rows…

cs.DS2016

Routing under Balance

Alina Ene, Gary Miller, Jakub Pachocki +1

We introduce the notion of balance for directed graphs: a weighted directed graph is -balanced if for every cut , the total weight of edges going from to $V\s…

cs.DS2016

Tight Lower Bounds on Graph Embedding Problems

Marek Cygan, Fedor V. Fomin, Alexander Golovnev +4

We prove that unless the Exponential Time Hypothesis (ETH) fails, deciding if there is a homomorphism from graph to graph cannot be done in time . We al…