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The Fourier Transform of Poisson Multinomial Distributions and its
  Algorithmic Applications
v1v2 (latest)

The Fourier Transform of Poisson Multinomial Distributions and its Algorithmic Applications

11 November 2015
Ilias Diakonikolas
D. Kane
Alistair Stewart
ArXiv (abs)PDFHTML

Papers citing "The Fourier Transform of Poisson Multinomial Distributions and its Algorithmic Applications"

23 / 23 papers shown
Title
Learning and Covering Sums of Independent Random Variables with
  Unbounded Support
Learning and Covering Sums of Independent Random Variables with Unbounded Support
Alkis Kalavasis
Konstantinos Stavropoulos
Manolis Zampetakis
64
2
0
24 Oct 2022
The Poisson Multinomial Distribution and Its Applications in Voting
  Theory, Ecological Inference, and Machine Learning
The Poisson Multinomial Distribution and Its Applications in Voting Theory, Ecological Inference, and Machine Learning
Zhengzhi Lin
Yueyao Wang
Yili Hong
87
5
0
11 Jan 2022
How Likely Are Large Elections Tied?
How Likely Are Large Elections Tied?
Lirong Xia
56
19
0
07 Nov 2020
The Smoothed Possibility of Social Choice
The Smoothed Possibility of Social Choice
Lirong Xia
59
28
0
11 Jun 2020
Learning Mixtures of Linear Regressions in Subexponential Time via
  Fourier Moments
Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments
Sitan Chen
Jingkai Li
Zhao Song
80
39
0
16 Dec 2019
Efficiently Learning Structured Distributions from Untrusted Batches
Efficiently Learning Structured Distributions from Untrusted Batches
Sitan Chen
Jingkai Li
Ankur Moitra
OODFedML
73
16
0
05 Nov 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via
  Locally Exponential Families
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
Brian Axelrod
Ilias Diakonikolas
Anastasios Sidiropoulos
Alistair Stewart
Gregory Valiant
86
9
0
18 Jul 2019
Private Hypothesis Selection
Private Hypothesis Selection
Mark Bun
Gautam Kamath
Thomas Steinke
Zhiwei Steven Wu
91
91
0
30 May 2019
Density estimation for shift-invariant multidimensional distributions
Density estimation for shift-invariant multidimensional distributions
Jonathan Levy
M. J. van der Laan
Rocco A. Servedio
OOD
67
5
0
09 Nov 2018
Learning Sums of Independent Random Variables with Sparse Collective
  Support
Learning Sums of Independent Random Variables with Sparse Collective Support
Anindya De
Philip M. Long
Rocco A. Servedio
FedML
62
3
0
18 Jul 2018
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation
  of Multivariate Log-concave Densities
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities
Timothy Carpenter
Ilias Diakonikolas
Anastasios Sidiropoulos
Alistair Stewart
80
24
0
28 Feb 2018
Learning Powers of Poisson Binomial Distributions
Learning Powers of Poisson Binomial Distributions
Dimitris Fotakis
Vasilis Kontonis
Piotr Krysta
P. Spirakis
29
0
0
18 Jul 2017
Fourier-Based Testing for Families of Distributions
Fourier-Based Testing for Families of Distributions
C. Canonne
Ilias Diakonikolas
Alistair Stewart
49
8
0
18 Jun 2017
Near-Optimal Closeness Testing of Discrete Histogram Distributions
Near-Optimal Closeness Testing of Discrete Histogram Distributions
Ilias Diakonikolas
D. Kane
Vladimir Nikishkin
88
30
0
06 Mar 2017
Testing Bayesian Networks
Testing Bayesian Networks
C. Canonne
Ilias Diakonikolas
D. Kane
Alistair Stewart
TPM
80
69
0
09 Dec 2016
Statistical Query Lower Bounds for Robust Estimation of High-dimensional
  Gaussians and Gaussian Mixtures
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures
Ilias Diakonikolas
D. Kane
Alistair Stewart
101
233
0
10 Nov 2016
Efficient Robust Proper Learning of Log-concave Distributions
Efficient Robust Proper Learning of Log-concave Distributions
Ilias Diakonikolas
D. Kane
Alistair Stewart
82
30
0
09 Jun 2016
Learning Multivariate Log-concave Distributions
Learning Multivariate Log-concave Distributions
Ilias Diakonikolas
D. Kane
Alistair Stewart
100
30
0
26 May 2016
Robust Estimators in High Dimensions without the Computational
  Intractability
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jingkai Li
Ankur Moitra
Alistair Stewart
111
513
0
21 Apr 2016
Properly Learning Poisson Binomial Distributions in Almost Polynomial
  Time
Properly Learning Poisson Binomial Distributions in Almost Polynomial Time
Ilias Diakonikolas
D. Kane
Alistair Stewart
112
28
0
12 Nov 2015
A Size-Free CLT for Poisson Multinomials and its Applications
A Size-Free CLT for Poisson Multinomials and its Applications
C. Daskalakis
Anindya De
Gautam Kamath
Christos Tzamos
108
28
0
11 Nov 2015
Sample-Optimal Density Estimation in Nearly-Linear Time
Sample-Optimal Density Estimation in Nearly-Linear Time
Jayadev Acharya
Ilias Diakonikolas
Jingkai Li
Ludwig Schmidt
122
91
0
01 Jun 2015
Optimal Learning via the Fourier Transform for Sums of Independent
  Integer Random Variables
Optimal Learning via the Fourier Transform for Sums of Independent Integer Random Variables
Ilias Diakonikolas
D. Kane
Alistair Stewart
111
32
0
04 May 2015
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