Search for tag: "rank"

Lecture 11/16/21: Generalized low rank models

Zoom Recording ID: 94347618999 UUID: SAWHob9hQW2cn6V0EZ64cg== Meeting Time: 2021-11-16T14:36:06Z

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From  Madeleine Udell 123 plays

Lecture 11/9/21: Unsupervised learning (PCA)

Zoom Recording ID: 94347618999 UUID: i0nonjabSNqNawDsvIrVAQ== Meeting Time: 2021-11-09T14:28:43Z

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From  Madeleine Udell 164 plays

Lecture 10/7: quadratic regularization

Zoom Recording ID: 94347618999 UUID: 7YUf4lI8Raqwy7q7xnfsGQ== Meeting Time: 2021-10-07T13:29:35Z

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From  Madeleine Udell 157 plays

ORIE Colloquium on 10/5/2021: Jeff Linderoth

Subspace Clustering with Missing Data via Integer Programming In the Subspace Clustering with Missing Data (SCMD) problem, we are given a collection of n data points, arranged into columns of a…

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From  E. Cornelius 6 plays

Lecture 10/5: underdetermined least squares

Zoom Recording ID: 94347618999 UUID: 1fmcXhxQQqWFDI9P5S6wKg== Meeting Time: 2021-10-05T13:30:44Z

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From  Madeleine Udell 136 plays

4.16.21 Madeleine Udell, Cornell University

Zoom Recording ID: 94765771101 UUID: PdHUv8VrQZK1vScIPYbP6g== Meeting Time: 2021-04-16T15:06:54Z

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From  Jordan Staiti 38 plays

4.2.21 Ayush Sekhari, Cornell University

Zoom Recording ID: 94765771101 UUID: LRqyVkL4R+mwcGaYqH8GVg== Meeting Time: 2021-04-02T15:11:04Z

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From  Jordan Staiti 47 plays

3.26.21 Hongning Wang, University of Viriginia

Zoom Recording ID: 94765771101 UUID: dGLlmYgzT0mo7/bxBdk3XA== Meeting Time: 2021-03-26T15:08:01Z

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From  Jordan Staiti 20 plays

ORIE Colloquium: Lijun Ding/Angela Zhou (Cornell Univeristy), March 2, 2021

Lijun Ding Title: Low rank matrix optimization Abstract: This talk consists of two parts: (1) semidefinite programming with low rank solution; (2) statistical…

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From  Henry Lam 13 plays

20191030_CIDA_Food Industry_Grower’s Panel_Improving Food Production Efficiency Through Tech Innovations_Opportunities and Barriers.mp4

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From  Matt Gorney 10 plays

ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank Models

Principal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…

From  E. Cornelius 7 plays

CAM Colloquium September 19, 2014 - Julianne Chung: Designing Optimal Spectral Filters and Low-Rank Matrices for Inverse Problems

Computing reliable solutions to inverse problems is important in many applications such as biomedical imaging, computer graphics, and security. Regularization by incorporating prior knowledge is…

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From  E. Cornelius 33 plays

ORIE Colloquium, 2013-02-20 - Sahand Negahban: Structured Estimation in High-Dimensions

ORIE/Statistics Colloquium: Sahand Negahban (MIT) - Structured Estimation in High-Dimensions Wednesday, February 20, 2013 at 4:15pm Frank H. T. Rhodes Hall, 253 Modern techniques in data…

From  E. Cornelius 126 plays

CAM Colloquium, 2014-09-19 - Julianne Chung: Designing Optimal Spectral Filters and Low-rank Matrices for Inverse Problems

From  E. Cornelius 78 plays