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Learning mixtures of structured distributions over discrete domains

Learning mixtures of structured distributions over discrete domains

2 October 2012
Siu On Chan
Ilias Diakonikolas
Rocco A. Servedio
Xiaorui Sun
ArXivPDFHTML

Papers citing "Learning mixtures of structured distributions over discrete domains"

16 / 16 papers shown
Title
Learning High-dimensional Gaussians from Censored Data
Learning High-dimensional Gaussians from Censored Data
Arnab Bhattacharyya
C. Daskalakis
Themis Gouleakis
Yuhao Wang
31
0
0
28 Apr 2025
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
Reward-Mixing MDPs with a Few Latent Contexts are Learnable
Jeongyeol Kwon
Yonathan Efroni
C. Caramanis
Shie Mannor
29
5
0
05 Oct 2022
Reinforcement Learning in Reward-Mixing MDPs
Reinforcement Learning in Reward-Mixing MDPs
Jeongyeol Kwon
Yonathan Efroni
C. Caramanis
Shie Mannor
30
15
0
07 Oct 2021
Small Covers for Near-Zero Sets of Polynomials and Learning Latent
  Variable Models
Small Covers for Near-Zero Sets of Polynomials and Learning Latent Variable Models
Ilias Diakonikolas
D. Kane
19
32
0
14 Dec 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
25
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
11
24
0
28 Feb 2018
On the nonparametric maximum likelihood estimator for Gaussian location
  mixture densities with application to Gaussian denoising
On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising
Sujayam Saha
Adityanand Guntuboyina
29
46
0
06 Dec 2017
Robust Learning of Fixed-Structure Bayesian Networks
Robust Learning of Fixed-Structure Bayesian Networks
Yu Cheng
Ilias Diakonikolas
D. Kane
Alistair Stewart
OOD
43
46
0
23 Jun 2016
Efficient Robust Proper Learning of Log-concave Distributions
Efficient Robust Proper Learning of Log-concave Distributions
Ilias Diakonikolas
D. Kane
Alistair Stewart
24
30
0
09 Jun 2016
Learning Multivariate Log-concave Distributions
Learning Multivariate Log-concave Distributions
Ilias Diakonikolas
D. Kane
Alistair Stewart
26
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
J. Li
Ankur Moitra
Alistair Stewart
21
505
0
21 Apr 2016
Sample-Optimal Density Estimation in Nearly-Linear Time
Sample-Optimal Density Estimation in Nearly-Linear Time
Jayadev Acharya
Ilias Diakonikolas
J. 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
21
32
0
04 May 2015
Sampling Correctors
Sampling Correctors
C. Canonne
Themis Gouleakis
R. Rubinfeld
30
12
0
24 Apr 2015
Testing Identity of Structured Distributions
Testing Identity of Structured Distributions
Ilias Diakonikolas
D. Kane
Vladimir Nikishkin
36
100
0
08 Oct 2014
Learning Poisson Binomial Distributions
Learning Poisson Binomial Distributions
C. Daskalakis
Ilias Diakonikolas
Rocco A. Servedio
SSL
72
120
0
13 Jul 2011
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