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

Sampling-Based Sublinear Low-Rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning
Association for Computing Machinery (ACM) via YouTube
Sublinear Algorithms for Gap Edit Distance
IEEE via YouTube
High Dimensional Robust Sparse Regression
Simons Institute via YouTube
Learning-Augmented Sketches for Frequency Estimation
Simons Institute via YouTube
Sublinear Time Property Testers - Algorithms for Efficient Function Analysis
Churchill CompSci Talks via YouTube