Ilias Diakonikolas
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| title | conference | date |
|---|---|---|
| Non-Gaussian Component Analysis: Statistical Query Hardness and its Applications | Rigorous Evidence for Information-Computation Trade-offs | 2021-09-13 |
Proves an SQ hardness theorem for Non‑Gaussian Component Analysis: if a univariate A matches the first m moments with N(0,1) and has finite chi-square… | ||
| Computational-Statistical Tradeoffs in Robust High-Dimensional Estimation | Robust and High-Dimensional Statistics (Simons Institute workshop, 2018) | 2018-10-29 |
Shows that beating the current epsilon·sqrt(log(1/epsilon)) error for robust high‑dimensional Gaussian mean estimation forces either statistical query model… | ||
| Algorithmic High Dimensional Robust Statistics I | Foundations of Data Science Boot Camp 2018 | 2018-08-27 |
Goal: recover a Gaussian mean in d dimensions with an epsilon fraction of corruptions and identity covariance. Transcript claims sample complexity… | ||
| Algorithmic High Dimensional Robust Statistics II | Foundations of Data Science Boot Camp 2018 | 2018-08-27 |
Proves a concrete certificate: if the empirical covariance spectral norm stays within 1+δ then the empirical mean is robust under strong contamination, with… | ||
| Learning and Testing Structured Distributions | Information Theory, Learning and Big Data (Simons Institute, 2015) | 2015-03-16 |
Ilias Diakonikolas, University of Edinburgh
Information Theory, Learning and Big Data
http://simons.berkeley.edu/talks/ilias-diakonikolas-2015-03-19 | ||
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