Piotr Indyk

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Prof. Piotr Indyk (MIT, CSAIL)

1:03:45

Piotr Indyk on Foundation of Data Science Series (Jan 13, 2022)

1:16:39

Learning-Based Sketching Algorithms - Piotr Indyk

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ML4A 2021 - Machine Learning for Algorithms - Piotr Indyk Opening Remarks

1:23:17

TCS+ talk: Piotr Indyk

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Piotr Indyk - Learning-Based Low-Rank Approximations - IPAM at UCLA

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SDSCon 2018 Session 1 - Piotr Indyk

0:53:31

A Near-Linear Time Algorithm for the Chamfer Distance

1:14:01

Piotr Indyk - Motwani Distinguished Lecture Series at Stanford

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1W-MINDS: Piotr Indyk, June 10, Learning-Based Sampling and Streaming

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Piotr Indyk

0:48:00

DIMACS Sublinear Workshop: Pitor Indyk - Streaming Algorithms for Set Cover

0:27:21

Overview of FODSI

0:45:33

Learning-Augmented Sketches for Frequency Estimation

1:09:50

AI Institute 'Geometry of Deep Learning' 2019 [Workshop] Day 3 | Session 1

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Approximate nearest neighbor search in high dimensions – Piotr Indyk – ICM2018

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ACM Kanellakis Award 2012

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Optimal (Euclidean) Metric Compression

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Embeddings and labeling schemes for A*

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Panel Discussion: Beyond Worst-Case Analysis

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Approximate Nearest Neighbors in Limited Space

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The Marriage Of (Provable) Algorithm Design And Machine Learning

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A Bi-metric Framework for Fast Similarity Search

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Learning Space Partitions for Nearest Neighbor Search (Neural Locality Sensitive Hashing)