Media Summary: We will learn about modern algorithmic techniques for handling large datasets, often by using imprecise but concise ... Andrew McGregor of the University of Massachusetts, Amherst presents his talk "The Latest on Linear Streaming framework: we are required to solve a certain problem on a large collection of items that one streams through once (i.e., ...

Sketching Sampling And Sublinear Time - Detailed Analysis & Overview

We will learn about modern algorithmic techniques for handling large datasets, often by using imprecise but concise ... Andrew McGregor of the University of Massachusetts, Amherst presents his talk "The Latest on Linear Streaming framework: we are required to solve a certain problem on a large collection of items that one streams through once (i.e., ... Organizers: Omri Ben-Eliezer, Rajesh Jayaram, Uri Stemmer ... Cameron Musco (Microsoft Research New England) ... Michael Kapralov (EPFL) Data Structures and Optimization for ...

David Woodruff, Carnegie Mellon University Author: Kai Zhang, Department of Computer and Information Sciences, Temple University Abstract: Matrix This is a presentation of the paper "Massively Parallel Computation and Speaker: Martin Strauss 2011 Duke Workshop on Sensing and Analysis of High Dimensional Data (SAHD)

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Sketching, Sampling and Sublinear Time Algorithms
Sketching, Sampling, and other Sublinear Algorithms 1+2 (Lecture by Alex Andoni)
DIMACS Sublinear Workshop: Andrew McGregor - The Latest on Linear Sketching for Large Graphs
Sketching, Sampling, and other Sublinear Algorithms 3+4 (Lecture by Alex Andoni)
STOC 2021 Workshop: Robust Streaming, Sketching and Sampling
Sublinear Time Eigenvalue Approximation via Random Sampling
Sketching Part 1
Sketching for Linear Algebra: Basics of Dimensionality Reduction and CountSketch I
Counting and Sampling Subgraphs in Sublinear Time
Sublinear Algorithms, by Prof. Michael Kapralov
Randomization or Condensation? LinearCost Matrix Sketching Via Cascaded Compression Sampling
Massively Parallel Computation and Sublinear-Time Algorithms for Embedded Planar Graphs
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Sketching, Sampling and Sublinear Time Algorithms

Sketching, Sampling and Sublinear Time Algorithms

Ronitt Rubinfeld (MIT) https://simons.berkeley.edu/talks/

Sketching, Sampling, and other Sublinear Algorithms 1+2 (Lecture by Alex Andoni)

Sketching, Sampling, and other Sublinear Algorithms 1+2 (Lecture by Alex Andoni)

We will learn about modern algorithmic techniques for handling large datasets, often by using imprecise but concise ...

DIMACS Sublinear Workshop: Andrew McGregor - The Latest on Linear Sketching for Large Graphs

DIMACS Sublinear Workshop: Andrew McGregor - The Latest on Linear Sketching for Large Graphs

Andrew McGregor of the University of Massachusetts, Amherst presents his talk "The Latest on Linear

Sketching, Sampling, and other Sublinear Algorithms 3+4 (Lecture by Alex Andoni)

Sketching, Sampling, and other Sublinear Algorithms 3+4 (Lecture by Alex Andoni)

Streaming framework: we are required to solve a certain problem on a large collection of items that one streams through once (i.e., ...

STOC 2021 Workshop: Robust Streaming, Sketching and Sampling

STOC 2021 Workshop: Robust Streaming, Sketching and Sampling

Organizers: Omri Ben-Eliezer, Rajesh Jayaram, Uri Stemmer ...

Sublinear Time Eigenvalue Approximation via Random Sampling

Sublinear Time Eigenvalue Approximation via Random Sampling

Cameron Musco (Microsoft Research New England) ...

Sketching Part 1

Sketching Part 1

Michael Kapralov (EPFL) https://simons.berkeley.edu/talks/michael-kapralov-epfl-2023-08-30 Data Structures and Optimization for ...

Sketching for Linear Algebra: Basics of Dimensionality Reduction and CountSketch I

Sketching for Linear Algebra: Basics of Dimensionality Reduction and CountSketch I

David Woodruff, Carnegie Mellon University https://simons.berkeley.edu/talks/

Counting and Sampling Subgraphs in Sublinear Time

Counting and Sampling Subgraphs in Sublinear Time

Talya Eden (MIT) https://simons.berkeley.edu/talks/counting-and-

Sublinear Algorithms, by Prof. Michael Kapralov

Sublinear Algorithms, by Prof. Michael Kapralov

Inaugural Lecture -

Randomization or Condensation? LinearCost Matrix Sketching Via Cascaded Compression Sampling

Randomization or Condensation? LinearCost Matrix Sketching Via Cascaded Compression Sampling

Author: Kai Zhang, Department of Computer and Information Sciences, Temple University Abstract: Matrix

Massively Parallel Computation and Sublinear-Time Algorithms for Embedded Planar Graphs

Massively Parallel Computation and Sublinear-Time Algorithms for Embedded Planar Graphs

This is a presentation of the paper "Massively Parallel Computation and

Sublinear Time, Measurement-Optimal, Sparse Recovery For All

Sublinear Time, Measurement-Optimal, Sparse Recovery For All

Speaker: Martin Strauss 2011 Duke Workshop on Sensing and Analysis of High Dimensional Data (SAHD)