UMAP is faster due to approximate nearest neighbors and cross-entropy optimization
Image: Rsoaresp, CC BY-SA 4.0, via Wikimedia Commons
UMAP is faster due to approximate nearest neighbors and cross-entropy optimization
t-SNE preserves local structure
Can we see the hidden patterns in a cloud of data points?
approximation algorithms guarantee: solution within factor α of optimal
Can we always find the best solution quickly?
cosine similarity is preferred over dot product for normalized embeddings
Why do we need a special way to measure similarity in high-dimensional spaces?
batch size affects generalization: larger batches find sharper minima
Larger batch sizes lead to sharper minima, enhancing generalization by providing more accurate gradient estimates
O(n log n) is the lower bound for comparison-based sorting
Ever wonder why sorting can't be faster than a certain point?
Locality-sensitive hashing
Locality-sensitive hashing (LSH) hashes similar items into the same buckets
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