Главная
Study mode:
on
You
History
Saved
In progress 0 courses
compleat 0 courses
#Art & Design #Adobe #ChatGPT #GitHub

#Matrix Completion

Showing: 15 courses
Institute for Advanced Study

Is Optimization the Right Language to Understand Deep Learning? - Sanjeev Arora

0 rewiews
Explore deep learning optimization, generalization, and neural tangent kernels with Sanjeev Arora. Gain insights into training wide networks and matrix completion techniques.
Add to list
16 Lesons
33 minutes
On-Demand
Free-Video
Simons Institute

Finding Low-Rank Matrices - From Matrix Completion to Recent Trends

0 rewiews
Explore low-rank matrix recovery, from matrix completion to recent trends, covering theoretical foundations and applications in signal processing and machine learning.
Add to list
23 Lesons
54 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

The Convex Geometry of Blind Deconvolution and Matrix Completion Revisited

0 rewiews
Explores convex geometry in blind deconvolution and matrix completion, analyzing dimensional factors in noise bounds and proposing alternative error scaling approaches for low-rank matrix recovery problems.
Add to list
23 Lesons
50 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Louis Theran: Rigidity of Random Graphs in Higher Dimensions

0 rewiews
Explore rigidity properties of random graphs in higher dimensions and their connection to matrix completion, with insights on thresholds and optimal conditions.
Add to list
8 Lesons
32 minutes
On-Demand
Free-Video
Simons Institute

Power of Active Sampling for Unsupervised Learning

0 rewiews
Explore active sampling techniques for unsupervised learning, focusing on matrix completion, graphical models, and clustering. Learn about statistical tradeoffs and computational complexity.
Add to list
22 Lesons
52 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Generalization in Deep Learning Through the Lens of Implicit Rank Minimization

0 rewiews
Explores implicit regularization in deep learning through matrix and tensor factorizations, revealing tendencies towards low ranks. Discusses implications for generalization and potential improvements in neural network design.
Add to list
24 Lesons
41 minutes
On-Demand
Free-Video
Simons Institute

Analyzing Optimization and Generalization in Deep Learning via Dynamics of Gradient Descent

0 rewiews
Explore deep learning optimization and generalization through gradient descent dynamics, focusing on implicit preconditioning and its impact on matrix completion problems.
Add to list
19 Lesons
44 minutes
On-Demand
Free-Video
Simons Institute

Implicit Regularization I

0 rewiews
Explore implicit regularization in deep learning, covering boosting, complexity control, optimization landscapes, and stochastic gradient descent for effective model training.
Add to list
13 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Simons Institute

Can Non-Convex Optimization Be Robust?

0 rewiews
Explore non-convex optimization's robustness, examining locally optimizable functions, perturbed objectives, and matrix completion. Insights on empirical vs. population risk and semi-random adversaries.
Add to list
15 Lesons
46 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Nonconvex Optimization in Matrix Optimization and Distributionally Robust Optimization

0 rewiews
Explore nonconvex optimization in matrix and distributionally robust contexts, covering algorithms, complexity, and applications in machine learning with Stephen Wright.
Add to list
14 Lesons
55 minutes
On-Demand
Free-Video
Paul G. Allen School

Better Understanding of Non-convex Methods in Machine Learning

0 rewiews
Exploring non-convex optimization in machine learning, focusing on matrix completion and neural network architectures. Insights into algorithmic approaches for complex, high-dimensional models.
Add to list
1 Lesons
58 minutes
On-Demand
Free-Video
Georgia Tech Research

Inference and Uncertainty Quantification for Noisy Matrix Completion - Lecture 5

0 rewiews
Explore inference and uncertainty quantification for noisy matrix completion, focusing on de-biased estimators and their distributional characterizations for optimal confidence interval construction.
Add to list
1 Lesons
51 minutes
On-Demand
Free-Video
Georgia Tech Research

Random Initialization and Implicit Regularization in Nonconvex Statistical Estimation - Lecture 2

0 rewiews
Explore nonconvex optimization in statistical estimation, focusing on gradient descent's convergence to optimal solutions without explicit regularization or careful initialization.
Add to list
16 Lesons
48 minutes
On-Demand
Free-Video
UofU Data Science

Distance Metric Learning and Outlier Detection in Data Mining - Spring 2023

0 rewiews
Delve into advanced data mining concepts, focusing on distance metric learning, outlier detection techniques, and practical applications of DBSCAN for effective data analysis.
Add to list
14 Lesons
1 hour 18 minutes
On-Demand
Free-Video
UofU Data Science

Matrix Completion and PageRank in Data Mining - Spring 2023

0 rewiews
Dive into matrix completion techniques and PageRank algorithms, exploring fundamental concepts for data mining and graph analysis applications.
Add to list
6 Lesons
1 hour 20 minutes
On-Demand
Free-Video