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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

10 November 2016
Ilias Diakonikolas
D. Kane
Alistair Stewart
ArXivPDFHTML

Papers citing "Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures"

21 / 71 papers shown
Title
Robustly Learning any Clusterable Mixture of Gaussians
Robustly Learning any Clusterable Mixture of Gaussians
Ilias Diakonikolas
Samuel B. Hopkins
D. Kane
Sushrut Karmalkar
38
45
0
13 May 2020
Outlier-Robust Clustering of Non-Spherical Mixtures
Outlier-Robust Clustering of Non-Spherical Mixtures
Ainesh Bakshi
Pravesh Kothari
27
31
0
06 May 2020
High-Dimensional Robust Mean Estimation via Gradient Descent
High-Dimensional Robust Mean Estimation via Gradient Descent
Yu Cheng
Ilias Diakonikolas
Rong Ge
Mahdi Soltanolkotabi
17
31
0
04 May 2020
All-In-One Robust Estimator of the Gaussian Mean
All-In-One Robust Estimator of the Gaussian Mean
A. Dalalyan
A. Minasyan
35
25
0
04 Feb 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
23
41
0
19 Nov 2019
Estimation of Wasserstein distances in the Spiked Transport Model
Estimation of Wasserstein distances in the Spiked Transport Model
Jonathan Niles-Weed
Philippe Rigollet
25
102
0
16 Sep 2019
Notes on Computational Hardness of Hypothesis Testing: Predictions using
  the Low-Degree Likelihood Ratio
Notes on Computational Hardness of Hypothesis Testing: Predictions using the Low-Degree Likelihood Ratio
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
31
136
0
26 Jul 2019
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved
  Outlier Detection
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
Yihe Dong
Samuel B. Hopkins
Jungshian Li
21
99
0
26 Jun 2019
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to
  Strong Hardness
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Matthew Brennan
Guy Bresler
31
50
0
20 Feb 2019
The Optimal Approximation Factor in Density Estimation
The Optimal Approximation Factor in Density Estimation
Olivier Bousquet
D. Kane
Shay Moran
30
18
0
10 Feb 2019
Efficient Algorithms and Lower Bounds for Robust Linear Regression
Efficient Algorithms and Lower Bounds for Robust Linear Regression
Ilias Diakonikolas
Weihao Kong
Alistair Stewart
27
161
0
31 May 2018
High Dimensional Robust Sparse Regression
High Dimensional Robust Sparse Regression
L. Liu
Yanyao Shen
Tianyang Li
Constantine Caramanis
14
71
0
29 May 2018
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
65
230
0
25 May 2018
Beyond the Low-Degree Algorithm: Mixtures of Subcubes and Their
  Applications
Beyond the Low-Degree Algorithm: Mixtures of Subcubes and Their Applications
Sitan Chen
Ankur Moitra
25
36
0
17 Mar 2018
Learning Geometric Concepts with Nasty Noise
Learning Geometric Concepts with Nasty Noise
Ilias Diakonikolas
D. Kane
Alistair Stewart
AAML
37
85
0
05 Jul 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
39
138
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
36
252
0
02 Mar 2017
Robust Sparse Estimation Tasks in High Dimensions
Robust Sparse Estimation Tasks in High Dimensions
Jerry Li
53
27
0
20 Feb 2017
Robust Learning of Fixed-Structure Bayesian Networks
Robust Learning of Fixed-Structure Bayesian Networks
Yu Cheng
Ilias Diakonikolas
D. Kane
Alistair Stewart
OOD
46
46
0
23 Jun 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
23
505
0
21 Apr 2016
Learning mixtures of structured distributions over discrete domains
Learning mixtures of structured distributions over discrete domains
Siu On Chan
Ilias Diakonikolas
Rocco A. Servedio
Xiaorui Sun
82
83
0
02 Oct 2012
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