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The Fourier Transform of Poisson Multinomial Distributions and its
  Algorithmic Applications

The Fourier Transform of Poisson Multinomial Distributions and its Algorithmic Applications

11 November 2015
Ilias Diakonikolas
D. Kane
Alistair Stewart
ArXivPDFHTML

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

12 / 12 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
32
2
0
24 Oct 2022
How Likely Are Large Elections Tied?
How Likely Are Large Elections Tied?
Lirong Xia
25
19
0
07 Nov 2020
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
33
8
0
18 Jul 2019
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
16
24
0
28 Feb 2018
Near-Optimal Closeness Testing of Discrete Histogram Distributions
Near-Optimal Closeness Testing of Discrete Histogram Distributions
Ilias Diakonikolas
D. Kane
Vladimir Nikishkin
27
30
0
06 Mar 2017
Efficient Robust Proper Learning of Log-concave Distributions
Efficient Robust Proper Learning of Log-concave Distributions
Ilias Diakonikolas
D. Kane
Alistair Stewart
32
30
0
09 Jun 2016
Learning Multivariate Log-concave Distributions
Learning Multivariate Log-concave Distributions
Ilias Diakonikolas
D. Kane
Alistair Stewart
34
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
21
505
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
24
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
10
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
22
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
23
32
0
04 May 2015
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