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Robust Learning of Fixed-Structure Bayesian Networks
v1v2 (latest)

Robust Learning of Fixed-Structure Bayesian Networks

23 June 2016
Yu Cheng
Ilias Diakonikolas
D. Kane
Alistair Stewart
    OOD
ArXiv (abs)PDFHTML

Papers citing "Robust Learning of Fixed-Structure Bayesian Networks"

32 / 32 papers shown
Title
MBGDT:Robust Mini-Batch Gradient Descent
MBGDT:Robust Mini-Batch Gradient Descent
Hanming Wang
Haozheng Luo
Yue Wang
42
4
0
14 Jun 2022
Streaming Algorithms for High-Dimensional Robust Statistics
Streaming Algorithms for High-Dimensional Robust Statistics
Ilias Diakonikolas
D. Kane
Ankit Pensia
Thanasis Pittas
98
21
0
26 Apr 2022
Robust Estimation for Random Graphs
Robust Estimation for Random Graphs
Jayadev Acharya
Ayush Jain
Gautam Kamath
A. Suresh
Huanyu Zhang
93
9
0
09 Nov 2021
Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean
  Estimation
Clustering Mixture Models in Almost-Linear Time via List-Decodable Mean Estimation
Ilias Diakonikolas
D. Kane
Daniel Kongsgaard
Jingkai Li
Kevin Tian
FedML
76
21
0
16 Jun 2021
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear
  Time
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
Yu Cheng
Honghao Lin
OOD
50
0
0
12 May 2021
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition
Ilias Diakonikolas
D. Kane
Alistair Stewart
Yuxin Sun
77
16
0
03 Feb 2021
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured
  Graphical Models with Noisy Samples
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
Anshoo Tandon
Aldric H. J. Yuan
Vincent Y. F. Tan
44
9
0
22 Jan 2021
Robustly Learning Mixtures of $k$ Arbitrary Gaussians
Robustly Learning Mixtures of kkk Arbitrary Gaussians
Ainesh Bakshi
Ilias Diakonikolas
Hengrui Jia
D. Kane
Pravesh Kothari
Santosh Vempala
86
65
0
03 Dec 2020
The FEDHC Bayesian network learning algorithm
The FEDHC Bayesian network learning algorithm
M. Tsagris
52
3
0
30 Nov 2020
List-Decodable Mean Estimation in Nearly-PCA Time
List-Decodable Mean Estimation in Nearly-PCA Time
Ilias Diakonikolas
D. Kane
Daniel Kongsgaard
Jingkai Li
Kevin Tian
94
17
0
19 Nov 2020
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
Lunjia Hu
Omer Reingold
OOD
71
5
0
18 Aug 2020
List-Decodable Mean Estimation via Iterative Multi-Filtering
List-Decodable Mean Estimation via Iterative Multi-Filtering
Ilias Diakonikolas
D. Kane
Daniel Kongsgaard
59
23
0
18 Jun 2020
Robustly Learning any Clusterable Mixture of Gaussians
Robustly Learning any Clusterable Mixture of Gaussians
Ilias Diakonikolas
Samuel B. Hopkins
D. Kane
Sushrut Karmalkar
87
45
0
13 May 2020
Exact Asymptotics for Learning Tree-Structured Graphical Models with
  Side Information: Noiseless and Noisy Samples
Exact Asymptotics for Learning Tree-Structured Graphical Models with Side Information: Noiseless and Noisy Samples
Anshoo Tandon
Vincent Y. F. Tan
Shiyao Zhu
43
7
0
09 May 2020
Outlier-Robust High-Dimensional Sparse Estimation via Iterative
  Filtering
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
Ilias Diakonikolas
Sushrut Karmalkar
D. Kane
Eric Price
Alistair Stewart
62
41
0
19 Nov 2019
Recent Advances in Algorithmic High-Dimensional Robust Statistics
Recent Advances in Algorithmic High-Dimensional Robust Statistics
Ilias Diakonikolas
D. Kane
OOD
93
184
0
14 Nov 2019
Faster Algorithms for High-Dimensional Robust Covariance Estimation
Faster Algorithms for High-Dimensional Robust Covariance Estimation
Yu Cheng
Ilias Diakonikolas
Rong Ge
David P. Woodruff
74
66
0
11 Jun 2019
How Hard Is Robust Mean Estimation?
How Hard Is Robust Mean Estimation?
Samuel B. Hopkins
Jerry Li
38
37
0
19 Mar 2019
On resampling vs. adjusting probabilistic graphical models in estimation
  of distribution algorithms
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms
Mohamed El Yafrani
M. Martins
M. Delgado
Inkyung Sung
R. Lüders
Markus Wagner
TPM
30
0
0
15 Feb 2019
High-Dimensional Robust Mean Estimation in Nearly-Linear Time
High-Dimensional Robust Mean Estimation in Nearly-Linear Time
Yu Cheng
Ilias Diakonikolas
Rong Ge
69
124
0
23 Nov 2018
Deep Neural Network Concepts for Background Subtraction: A Systematic
  Review and Comparative Evaluation
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation
T. Bouwmans
S. Javed
M. Sultana
Soon Ki Jung
84
322
0
13 Nov 2018
Robust Estimation and Generative Adversarial Nets
Robust Estimation and Generative Adversarial Nets
Chao Gao
Jiyi Liu
Yuan Yao
Weizhi Zhu
142
28
0
04 Oct 2018
Efficient Algorithms and Lower Bounds for Robust Linear Regression
Efficient Algorithms and Lower Bounds for Robust Linear Regression
Ilias Diakonikolas
Weihao Kong
Alistair Stewart
98
164
0
31 May 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Jacob Steinhardt
Alistair Stewart
93
289
0
07 Mar 2018
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical
  Gaussians
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians
Ilias Diakonikolas
D. Kane
Alistair Stewart
139
147
0
20 Nov 2017
Learning Geometric Concepts with Nasty Noise
Learning Geometric Concepts with Nasty Noise
Ilias Diakonikolas
D. Kane
Alistair Stewart
AAML
83
90
0
05 Jul 2017
Robustly Learning a Gaussian: Getting Optimal Error, Efficiently
Robustly Learning a Gaussian: Getting Optimal Error, Efficiently
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Ankur Moitra
Alistair Stewart
102
135
0
12 Apr 2017
Resilience: A Criterion for Learning in the Presence of Arbitrary
  Outliers
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers
Jacob Steinhardt
Moses Charikar
Gregory Valiant
99
140
0
15 Mar 2017
Being Robust (in High Dimensions) Can Be Practical
Being Robust (in High Dimensions) Can Be Practical
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jerry Li
Ankur Moitra
Alistair Stewart
147
255
0
02 Mar 2017
Robust Sparse Estimation Tasks in High Dimensions
Robust Sparse Estimation Tasks in High Dimensions
Jerry Li
111
27
0
20 Feb 2017
Testing Bayesian Networks
Testing Bayesian Networks
C. Canonne
Ilias Diakonikolas
D. Kane
Alistair Stewart
TPM
77
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
96
233
0
10 Nov 2016
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