At a Glance: Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ... Simplex wrap-up, strong duality, complementary slackness, ellipsoid, intro to interior point.
Advanced Algorithms Compsci 224 Lecture 18 -
Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ... Simplex wrap-up, strong duality, complementary slackness, ellipsoid, intro to interior point. Low-rank approximation, column-based matrix reconstruction, k-means, compressed sensing.
Important details found
- Power of random signs: ℓ2 norm estimation, subspace embeddings (regression), Johnson-Lindenstrauss, deterministic point ...
- Simplex wrap-up, strong duality, complementary slackness, ellipsoid, intro to interior point.
- Low-rank approximation, column-based matrix reconstruction, k-means, compressed sensing.
- second order methods (Newton's method), path-following interior point wrap-up.
- Logistics, course topics, word RAM, predecessor, van Emde Boas, y-fast tries.
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