High Dimensional Robust Statistics With

Media Summary: Today we're joined by Ilias Diakonikolas, faculty in the CS department at the University of Wisconsin-Madison, and author of the ... Ilias Diakonikolas, University of Southern California ... Computer Science/Discrete Mathematics Seminar I Topic: Recent advances in

High Dimensional Robust Statistics With - Detailed Analysis & Overview

Today we're joined by Ilias Diakonikolas, faculty in the CS department at the University of Wisconsin-Madison, and author of the ... Ilias Diakonikolas, University of Southern California ... Computer Science/Discrete Mathematics Seminar I Topic: Recent advances in Constantine Caramanis (University of Texas at Austin) ... Ilias Diakonikolas, University of Southern California Sam Hopkins, UC Berkeley Probability, Geometry, and Computation in

Han Liu Princeton University February 27, 2014 We introduce a new family of Speaker: Anders Kock (Oxford) Guest Panellist: Jesper Riis-Vestergaard Sørensen (Copenhagen) Adam Klivans (University of Texas, Austin)

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High-Dimensional Robust Statistics with Ilias Diakonikolas - #351

Algorithmic High Dimensional Robust Statistics I

Recent advances in high dimensional robust statistics - Daniel Kane

Efficient Algorithms for High Dimensional Robust Learning

High Dimensional Robust Sparse Regression

Algorithmic High Dimensional Robust Statistics II

Recent Progress in Algorithmic Robust Statistics via the Sum-of-Squares Method

Robustly Learning Mixtures of (Clusterable) Gaussians via the SoS Proofs to Algorithms Method

From High Dimensional Data to Big Data - Han Liu

Robustness in High-Dimensional Inference Tasks

Some Problems of Robust High-dimensional Statistics

High-dimensional Gaussian and bootstrap approximations for robust means

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High-Dimensional Robust Statistics with Ilias Diakonikolas - #351

High-Dimensional Robust Statistics with Ilias Diakonikolas - #351

Today we're joined by Ilias Diakonikolas, faculty in the CS department at the University of Wisconsin-Madison, and author of the ...

Algorithmic High Dimensional Robust Statistics I

Algorithmic High Dimensional Robust Statistics I

Ilias Diakonikolas, University of Southern California ...

Recent advances in high dimensional robust statistics - Daniel Kane

Recent advances in high dimensional robust statistics - Daniel Kane

Computer Science/Discrete Mathematics Seminar I Topic: Recent advances in

Efficient Algorithms for High Dimensional Robust Learning

Efficient Algorithms for High Dimensional Robust Learning

We study

High Dimensional Robust Sparse Regression

High Dimensional Robust Sparse Regression

Constantine Caramanis (University of Texas at Austin) ...

Algorithmic High Dimensional Robust Statistics II

Algorithmic High Dimensional Robust Statistics II

Ilias Diakonikolas, University of Southern California https://simons.berkeley.edu/talks/

Recent Progress in Algorithmic Robust Statistics via the Sum-of-Squares Method

Recent Progress in Algorithmic Robust Statistics via the Sum-of-Squares Method

Pravesh Kothari (CMU) https://simons.berkeley.edu/talks/recent-progress-algorithmic-

Robustly Learning Mixtures of (Clusterable) Gaussians via the SoS Proofs to Algorithms Method

Robustly Learning Mixtures of (Clusterable) Gaussians via the SoS Proofs to Algorithms Method

Sam Hopkins, UC Berkeley Probability, Geometry, and Computation in

From High Dimensional Data to Big Data - Han Liu

From High Dimensional Data to Big Data - Han Liu

Han Liu Princeton University February 27, 2014 We introduce a new family of

Robustness in High-Dimensional Inference Tasks

Robustness in High-Dimensional Inference Tasks

Jelena Bradic (UC San Diego) https://simons.berkeley.edu/talks/

Some Problems of Robust High-dimensional Statistics

Some Problems of Robust High-dimensional Statistics

Gilad Lerman (University of Minnesota) https://simons.berkeley.edu/talks/some-problems-

High-dimensional Gaussian and bootstrap approximations for robust means

High-dimensional Gaussian and bootstrap approximations for robust means

Speaker: Anders Kock (Oxford) Guest Panellist: Jesper Riis-Vestergaard Sørensen (Copenhagen)

Efficient Algorithms for Outlier-Robust Regression

Efficient Algorithms for Outlier-Robust Regression

Adam Klivans (University of Texas, Austin) https://simons.berkeley.edu/talks/efficient-algorithms-outlier-