Computational Efficiency And Robust Statistics Information Guide

  1. Overview on Computational Efficiency And Robust Statistics
  2. Main Features
  3. History
  4. Expert Insights
  5. Future Outlook

Overview on Computational Efficiency And Robust Statistics

Computational Efficiency and Robust Statistics Guide
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Main Features

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History

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An overview of classical robust statistics and generalizations to the future
An overview of classical robust statistics and generalizations to the future
Computational-Statistical Tradeoffs in Robust High-Dimensional Estimation
Computational-Statistical Tradeoffs in Robust High-Dimensional Estimation
TCS+ talk: Jerry Li
TCS+ talk: Jerry Li
Efficient Algorithms for High Dimensional Robust Learning
Efficient Algorithms for High Dimensional Robust Learning
Algorithmic High Dimensional Robust Statistics I
Algorithmic High Dimensional Robust Statistics I
Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach
Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach
Robust-first computing: Beyond efficiency
Robust-first computing: Beyond efficiency
Efficient Algorithms for Outlier-Robust Regression
Efficient Algorithms for Outlier-Robust Regression
Lecture 1: Introduction to robust statistics
Lecture 1: Introduction to robust statistics
Lecture 8: Numerical Data – Robust Statistics
Lecture 8: Numerical Data – Robust Statistics
Recent Progress in Algorithmic Robust Statistics via the Sum-of-Squares Method
Recent Progress in Algorithmic Robust Statistics via the Sum-of-Squares Method

Expert Insights

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Last Updated: October 1, 2026

Future Outlook

A brief introduction to robust statistics Guide
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Summary

Ilias Diakonikolas, University of Southern California This video was created as part of a job interview process - I'm setting it free. The slides are here: garthtarr.com/pres/RobIntro ... Po-Ling Loh (University of Cambridge) simons.berkeley.edu/talks/po-ling-loh-university-cambridge-2024-08-28 Modern ... Ilias Diakonikolas (University of Southern California) ... We study high-dimensional estimation in a setting where an adversary is allowed to arbitrarily corrupt an $\varepsilon$-fraction of ... Talk by David Frazier at the One World ABC Seminar on October 16 2020. For more information on the seminar series, see ... Adam Klivans (University of Texas, Austin) simons.berkeley.edu/talks/ Lecture notes available here: jerryzli.github.io/ Pravesh Kothari (CMU) simons.berkeley.edu/talks/recent-progress-algorithmic-

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