Introduction to Faster Numerical Linear Algebra Algorithms Via Sparser Subspace Embeddings Jelani Nelson
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Faster Numerical Linear Algebra Algorithms Via Sparser Subspace Embeddings Jelani Nelson Comprehensive Overview
Jelani Nelson Dimensionality reduction techniques are used to obtain As the John L. Loeb Associate Professor of Engineering and Applied Sciences at the Harvard John A. Paulson School of ...
Guest Lecturer: Professor
Summary & Highlights for Faster Numerical Linear Algebra Algorithms Via Sparser Subspace Embeddings Jelani Nelson
- The Johnson-Lindenstrauss lemma states that for any X a subset of R^d with |X| = n and for any epsilon, there exists a map f:X into ...
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- Sparsity Lower Bounds for Dimensionality Reducing Maps
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