Introduction to Efficient Algorithms And Lower Bounds For Robust Regression
Welcome to our comprehensive guide on Efficient Algorithms And Lower Bounds For Robust Regression. Efficient Algorithms and Lower Bounds for Robust Regression
Efficient Algorithms And Lower Bounds For Robust Regression Comprehensive Overview
Adam Klivans, Pravesh K Kothari and Raghu Meka Adam Klivans (University of Texas, Austin) https://simons.berkeley.edu/talks/ Jerry Li (Microsoft Research) https://simons.berkeley.edu/talks/tbd-350 Rigorous Evidence for Information-Computation Trade-offs.
Po-Ling Loh (University of Wisconsin, Madison) ...
Summary & Highlights for Efficient Algorithms And Lower Bounds For Robust Regression
- Linear regression
- We study high-dimensional estimation in a setting where an adversary is allowed to arbitrarily corrupt an $\varepsilon$-fraction of ...
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- This video discusses how least-squares
- Robust regression
In summary, understanding Efficient Algorithms And Lower Bounds For Robust Regression gives us a better perspective.