Media Summary: Okay so I'm happy to introduce our first speaker of the afternoon section who is our own Algorithmic Applications of High-Dimensional Geometry by Algorithmic Applications of High Dimensional Geometry by

Alexandr Andoni Columbia University Nearest - Detailed Analysis & Overview

Okay so I'm happy to introduce our first speaker of the afternoon section who is our own Algorithmic Applications of High-Dimensional Geometry by Algorithmic Applications of High Dimensional Geometry by Join us this weekend on August 7th at 19:00 UTC+0 for the next edition of our ICPC In this video, Matthew Chen shares exactly how he got into

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Alexandr Andoni (Columbia University): Nearest Neighbor Search Problems in LLMs
Columbia Statistical Machine Learning Bootcamp: Alex Andoni | Part 1
From Data to Knowledge 302 Alexandr Andoni
Alexandr Andoni - The Geometry of Similarity Search (May 19, 2017)
Sketching and Embeddings 1/2
Sketching and embedding are equivalent for norms - Alex Andoni
Optimal Data-Dependent Hashing for Nearest Neighbor Search
Columbia Statistical Machine Learning Bootcamp: Alex Andoni | Part 2
Sketching as a Tool for Fast Algorithm Design
Spectral Partitioning for Metrics (And NNs Too)
Alex Andoni: Approximating Edit Distance in Near-Linear Time
Congratulations! Welcome to Columbia!
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Alexandr Andoni (Columbia University): Nearest Neighbor Search Problems in LLMs

Alexandr Andoni (Columbia University): Nearest Neighbor Search Problems in LLMs

Okay so I'm happy to introduce our first speaker of the afternoon section who is our own

Columbia Statistical Machine Learning Bootcamp: Alex Andoni | Part 1

Columbia Statistical Machine Learning Bootcamp: Alex Andoni | Part 1

Algorithmic Applications of High-Dimensional Geometry by

From Data to Knowledge 302 Alexandr Andoni

From Data to Knowledge 302 Alexandr Andoni

Slides:

Alexandr Andoni - The Geometry of Similarity Search (May 19, 2017)

Alexandr Andoni - The Geometry of Similarity Search (May 19, 2017)

More details: https://www.simonsfoundation.org/event/the-geometry-of-similarity-search/

Sketching and Embeddings 1/2

Sketching and Embeddings 1/2

By

Sketching and embedding are equivalent for norms - Alex Andoni

Sketching and embedding are equivalent for norms - Alex Andoni

... for norms Speaker:

Optimal Data-Dependent Hashing for Nearest Neighbor Search

Optimal Data-Dependent Hashing for Nearest Neighbor Search

Alex Andoni

Columbia Statistical Machine Learning Bootcamp: Alex Andoni | Part 2

Columbia Statistical Machine Learning Bootcamp: Alex Andoni | Part 2

Algorithmic Applications of High Dimensional Geometry by

Sketching as a Tool for Fast Algorithm Design

Sketching as a Tool for Fast Algorithm Design

Alex Andoni

Spectral Partitioning for Metrics (And NNs Too)

Spectral Partitioning for Metrics (And NNs Too)

Alex Andoni

Alex Andoni: Approximating Edit Distance in Near-Linear Time

Alex Andoni: Approximating Edit Distance in Near-Linear Time

Join us this weekend on August 7th at 19:00 UTC+0 for the next edition of our ICPC

Congratulations! Welcome to Columbia!

Congratulations! Welcome to Columbia!

Acceptance video for

How I got into Columbia in 2026

How I got into Columbia in 2026

In this video, Matthew Chen shares exactly how he got into