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#Low-Rank Approximation

Showing: 13 courses
Simons Institute

Sampling for Linear Algebra, Statistics, and Optimization I

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Explore randomized numerical linear algebra techniques for efficient data analysis, covering sampling methods, matrix multiplication, and regression algorithms.
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15 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Simons Institute

Foundations of Data Science II

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Explore advanced data science concepts including SVD, Gaussian mixtures, and Markov chains. Learn about randomized algorithms and low-rank approximations for efficient data handling.
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17 Lesons
55 minutes
On-Demand
Free-Video
Simons Institute

Quantum-Inspired Classical Linear Algebra

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Explore quantum-inspired classical algorithms for linear algebra, including sketching, sampling, and low-rank approximation techniques in this advanced computational talk.
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15 Lesons
59 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Learning-Based Low-Rank Approximations - IPAM at UCLA

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Explores learning-based algorithms for low-rank matrix approximation, focusing on optimizing sketching matrices using training data to significantly reduce approximation errors in efficient computational methods.
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1 Lesons
49 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Low Rank Tensor Completion and Its Applications

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Explore low rank tensor completion methods using framelet, dictionary coding, deep plug-and-play prior, and more. Gain insights into theoretical and numerical results for solving complex imaging problems.
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1 Lesons
55 minutes
On-Demand
Free-Video
IEEE

Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation

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Explore efficient algorithms for positive semidefinite low-rank approximation, focusing on robustness and sample optimality in matrix computations.
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1 Lesons
28 minutes
On-Demand
Free-Video
Institut Henri Poincaré

When Your Big Data Seems Too Small: Accurate Inferences Beyond the Empirical Distribution - Part 2

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Explore advanced techniques for accurate distribution inferences with limited data. Learn to de-noise empirical distributions, estimate population spectra, and recover low-rank matrix approximations.
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1 Lesons
56 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Low Rank Approximation in Electron Excitation Calculations - IPAM at UCLA

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Explore low rank approximation techniques for efficient electron excitation calculations, focusing on the Interpolative Separable Density Fitting method and its applications in quantum mechanics.
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17 Lesons
42 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Arbitrary Tensor Network Algorithm: Theory, Methods and Applications

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Explore arbitrary tensor network algorithms for complex systems modeling, covering theory, methods, and applications in probabilistic graphical models and quantum circuit simulations.
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1 Lesons
44 minutes
On-Demand
Free-Video
IEEE

Near Optimal Linear Algebra in the Online and Sliding Window Models

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Explore near-optimal linear algebra techniques for streaming and sliding window models, focusing on randomized algorithms and their applications in data analysis.
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14 Lesons
24 minutes
On-Demand
Free-Video
HUJI Machine Learning Club

Gauss-Legendre Features for Scalable Gaussian Process Regression

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Discover how Gauss-Legendre features enable efficient scaling of Gaussian process regression through low-rank kernel matrix approximation, offering faster computation for large datasets with poly-logarithmic feature requirements.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Efficient Language Models - Tutorial

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Explore efficient language model techniques with JHU researcher Tianjian Li, covering optimization strategies and cutting-edge approaches for improved NLP performance.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

New Dynamical Low-Complexity Approximations for the Schrödinger Equation

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Delve into advanced mathematical analysis of time-dependent Schrödinger equations, exploring new variational formulations and low-rank approximations for many-body electronic systems.
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1 Lesons
53 minutes
On-Demand
Free-Video