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Alex Andoni

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titleconferencedate
Spectral Partitioning for Metrics (And NNs Too)Sublinear Algorithms and Nearest-Neighbor Search2018-11-27
Gives a concrete parameter, the cutting modulus, and proves it controls approximate nearest‑neighbor complexity: for any norm on R^d there is a cell‑probe data…
Talk on
Optimal Data-Dependent Hashing for Nearest Neighbor SearchComputational Complexity of Low-Polynomial Time Problems (Simons Institute workshop, 2015)2015-12-08
Claims a concrete improvement over LSH: using data-dependent hashing and a tree of partitions that alternates dense-cluster extraction and cap carving…
Talk
Algorithmic High-Dimensional Geometry IBig Data Boot Camp 20132013-09-03
Shows that random linear maps (Gaussian projections, i.e. the Johnson-Lindenstrauss lemma) cut dimension to k = O(log n / ε^2) and preserves pairwise distances…
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Algorithmic High-Dimensional Geometry IIBig Data Boot Camp 20132013-09-03
Shows that datasets with doubling dimension λ admit ANN by projecting to O(λ) dimensions with asymmetric contraction/expansion guarantees and by using…
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