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Learning Entangled Single-Sample Distributions via Iterative Trimming
v1v2 (latest)

Learning Entangled Single-Sample Distributions via Iterative Trimming

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
20 April 2020
Hui Yuan
Yingyu Liang
ArXiv (abs)PDFHTML

Papers citing "Learning Entangled Single-Sample Distributions via Iterative Trimming"

7 / 7 papers shown
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
Ilias Diakonikolas
Giannis Iakovidis
D. Kane
Thanasis Pittas
424
3
0
20 Feb 2025
Entangled Mean Estimation in High-Dimensions
Entangled Mean Estimation in High-DimensionsSymposium on the Theory of Computing (STOC), 2025
Ilias Diakonikolas
D. Kane
Sihan Liu
Thanasis Pittas
358
2
0
10 Jan 2025
Near-Optimal Mean Estimation with Unknown, Heteroskedastic Variances
Near-Optimal Mean Estimation with Unknown, Heteroskedastic VariancesSymposium on the Theory of Computing (STOC), 2023
Spencer Compton
Gregory Valiant
318
4
0
05 Dec 2023
Rank-based Decomposable Losses in Machine Learning: A Survey
Rank-based Decomposable Losses in Machine Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Shu Hu
Xin Wang
Siwei Lyu
378
39
0
18 Jul 2022
On Mean Estimation for Heteroscedastic Random Variables
On Mean Estimation for Heteroscedastic Random Variables
Luc Devroye
Silvio Lattanzi
Gabor Lugosi
Nikita Zhivotovskiy
160
5
0
22 Oct 2020
Learning Mixtures of Low-Rank Models
Learning Mixtures of Low-Rank ModelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Yanxi Chen
Cong Ma
H. Vincent Poor
Yuxin Chen
356
16
0
23 Sep 2020
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals
  Model
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals ModelAnnual Conference Computational Learning Theory (COLT), 2020
Yingyu Liang
Hui Yuan
227
6
0
10 Jul 2020
1
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