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Real data are rarely pure.
A survey of sampling from contaminated distributions
John W. Tukey · 1960
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Robust estimation of a location parameter
Peter J. Huber · 1964
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Robust Statistics
Peter J. Huber and Elvezio M. Ronchetti · 2009
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Robust Statistics: The Approach Based on Influence Functions
Frank R. Hampel, Elvezio M. Ronchetti, Peter J. Rousseeuw, and Werner A. Stahel · 2011
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Robust estimators in high dimensions without the computational intractability
Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, and Alistair Stewart · 2016
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Agnostic estimation of mean and covariance
Kevin A. Lai, Anup B. Rao, and Santosh Vempala · 2016
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Computationally efficient robust sparse estimation in high dimensions
Sivaraman Balakrishnan, Simon S. Du, Jerry Li, and Aarti Singh · 2017
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Learning from untrusted data
Moses Charikar, Jacob Steinhardt, and Gregory Valiant · 2017
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Being robust (in high dimensions) can be practical
Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, and Alistair Stewart · 2017
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Robustly learning a Gaussian: Getting optimal error, efficiently
Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, and Alistair Stewart · 2018
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Mixture models, robustness, and sum of squares proofs
Samuel B. Hopkins and Jerry Li · 2018
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Efficient algorithms for outlier-robust regression
Adam Klivans, Pravesh K. Kothari, and Raghu Meka · 2018
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Robust moment estimation and improved clustering via sum of squares
Pravesh Kothari, Jacob Steinhardt, and David Steurer · 2018
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Learning discrete distributions from untrusted batches
Mingda Qiao and Gregory Valiant · 2018
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Resilience: A criterion for learning in the presence of arbitrary outliers
Jacob Steinhardt, Moses Charikar, and Gregory Valiant · 2018
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Recent advances in algorithmic high-dimensional robust statistics
Ilias Diakonikolas and Daniel M. Kane · 2019
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Robust estimators in high-dimensions without the computational intractability
Efficiently learning structured distributions from untrusted batches
Sitan Chen, Jerry Li, and Ankur Moitra · 2020
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Learning structured distributions from untrusted batches: Faster and simpler
Sitan Chen, Jerry Li, and Ankur Moitra · 2020
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A general method for robust learning from batches
Ayush Jain and Alon Orlitsky · 2020
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Optimal robust learning of discrete distributions from batches
Ayush Jain and Alon Orlitsky · 2020
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High dimensional robust sparse regression
Liu Liu, Yanyao Shen, Tianyang Li, and Constantine Caramanis · 2020
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Robust estimation via robust gradient estimation
Adarsh Prasad, Arun Sai Suggala, Sivaraman Balakrishnan, and Pradeep Ravikumar · 2020
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