activity
20082023
most citedSever: A Robust Meta-Algorithm for Stochastic Optimization

142 citations · 752 across the 110 of their papers we have counts for

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Showing 2015Show all

7 papers · 1 filter

cs.CC2015★ 1 cited

Super-Linear Gate and Super-Quadratic Wire Lower Bounds for Depth-Two and Depth-Three Threshold Circuits

Daniel M. Kane, Ryan Williams

In order to formally understand the power of neural computing, we first need to crack the frontier of threshold circuits with two and three layers, a regime that has been surprisin…

cs.DS2015★ 23 cited

Properly Learning Poisson Binomial Distributions in Almost Polynomial Time

Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart

We give an algorithm for properly learning Poisson binomial distributions. A Poisson binomial distribution (PBD) of order is the discrete probability distribution of the sum of…

cs.DS2015

The Fourier Transform of Poisson Multinomial Distributions and its Algorithmic Applications

Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart

An -Poisson Multinomial Distribution (PMD) is a random variable of the form , where the 's are independent random vectors supported on the set of…

cs.DS2015

Optimal Algorithms and Lower Bounds for Testing Closeness of Structured Distributions

Ilias Diakonikolas, Daniel M. Kane, Vladimir Nikishkin

We give a general unified method that can be used for {\em closeness testing} of a wide range of univariate structured distribution families. More specifically, we design a s…

cs.DS2015★ 11 cited

Optimal Learning via the Fourier Transform for Sums of Independent Integer Random Variables

Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart

We study the structure and learnability of sums of independent integer random variables (SIIRVs). For , a -SIIRV of order is the pro…

math.CO2015

Central Limit Theorems for some Set Partition Statistics

Bobbie Chern, Persi Diaconis, Daniel M. Kane +1

We prove the conjectured limiting normality for the number of crossings of a uniformly chosen set partition of [n] = {1,2,...,n}. The arguments use a novel stochastic representatio…