Search Results for 'Andoni'

Andoni published presentations and documents on DocSlides.

NearOptimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions by Alexandr Andoni and Piotr Indyk The goal of this article is twofold

NearOptimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions by Alexandr Andoni and Piotr Indyk The goal of this article is twofold

lindy-dunigan
6 Slides

In the first part we survey a family of nearest n...

Learning Polynomials with Neural Networks Alexandr Andoni ANDONI MICROSOFT COM Microsoft Research Rina Panigrahy RINA MICROSOFT COM Microsoft Research Gregory Valiant GREGORY VALIANT GMAIL COM Stanfo

Learning Polynomials with Neural Networks Alexandr Andoni ANDONI MICROSOFT COM Microsoft Research Rina Panigrahy RINA MICROSOFT COM Microsoft Research Gregory Valiant GREGORY VALIANT GMAIL COM Stanfo

natalia-silvester
9 Slides

While neural networks have been shown to have gre...

Optimal Data-Dependent Hashing for

Optimal Data-Dependent Hashing for

natalia-silvester
18 Slides

A. pproximate . N. ear . N. eighbors. Alexandr An...

Efficient Approximation

Efficient Approximation

yoshiko-marsland
27 Slides

. of Edit Distance. Robert Krauthgamer, . Weizma...

Optimal Data-Dependent Hashing for

Optimal Data-Dependent Hashing for

stefany-barnette
6 Slides

Approximate Near Neighbors. Ilya Razenshteyn (CSA...

Tight Lower Bounds for Data-Dependent

Tight Lower Bounds for Data-Dependent

phoebe-click
0 Slides

L. ocality-. S. ensitive . H. ashing. Alexandr . ...

Holder Homeomorphisms and Approximate Nearest Neighbors

Holder Homeomorphisms and Approximate Nearest Neighbors

yoshiko-marsland
0 Slides

Ilya . Razenshteyn. . (Microsoft Research Redmon...

Approximate Near Neighbors for General Symmetric Norms

Approximate Near Neighbors for General Symmetric Norms

pamella-moone
0 Slides

Ilya Razenshteyn . (MIT CSAIL). j. oint with. Ale...

Approximate nearest neighbor for

Approximate nearest neighbor for

pinperc
22 Slides

ℓ. p. –spaces (2<p<∞) via . embeddings...

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