YoVDO

Adaptive Sparse Recovery with Limited Adaptivity

Offered By: Simons Institute via YouTube

Tags

Algorithms Courses Data Science Courses Computational Mathematics Courses Sublinear Algorithms Courses

Course Description

Overview

Explore a 42-minute lecture by Eric Price from the University of Texas at Austin on adaptive sparse recovery with limited adaptivity. Delve into the intricacies of sublinear algorithms and nearest-neighbor search as part of the Simons Institute's series on advanced computational concepts. Gain insights into the challenges and solutions in sparse recovery techniques, focusing on scenarios where adaptivity is constrained.

Syllabus

Adaptive Sparse Recovery with Limited Adaptivity


Taught by

Simons Institute

Related Courses

Information Theory
The Chinese University of Hong Kong via Coursera
Intro to Computer Science
University of Virginia via Udacity
Analytic Combinatorics, Part I
Princeton University via Coursera
Algorithms, Part I
Princeton University via Coursera
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Stanford University via Coursera