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1611.03473
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Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures
10 November 2016
Ilias Diakonikolas
D. Kane
Alistair Stewart
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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
Ilias Diakonikolas
Samuel B. Hopkins
D. Kane
Sushrut Karmalkar
38
45
0
13 May 2020
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
Yu Cheng
Ilias Diakonikolas
Rong Ge
Mahdi Soltanolkotabi
17
31
0
04 May 2020
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
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
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
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
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
Matthew Brennan
Guy Bresler
31
50
0
20 Feb 2019
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
Ilias Diakonikolas
Weihao Kong
Alistair Stewart
27
161
0
31 May 2018
High Dimensional Robust Sparse Regression
L. Liu
Yanyao Shen
Tianyang Li
Constantine Caramanis
14
71
0
29 May 2018
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
Sitan Chen
Ankur Moitra
25
36
0
17 Mar 2018
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
Jacob Steinhardt
Moses Charikar
Gregory Valiant
39
138
0
15 Mar 2017
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
Jerry Li
53
27
0
20 Feb 2017
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
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
Siu On Chan
Ilias Diakonikolas
Rocco A. Servedio
Xiaorui Sun
82
83
0
02 Oct 2012
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