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Lecture 11/16/21: Generalized low rank models

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

From  Madeleine Udell 109 plays

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

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

From  Madeleine Udell 155 plays

Lecture 10/7: quadratic regularization

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

From  Madeleine Udell 149 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…

From  E. Cornelius 6 plays

Lecture 10/5: underdetermined least squares

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

From  Madeleine Udell 127 plays

4.16.21 Madeleine Udell, Cornell University

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

From  Jordan Staiti 35 plays

4.2.21 Ayush Sekhari, Cornell University

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

From  Jordan Staiti 43 plays

3.26.21 Hongning Wang, University of Viriginia

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

From  Jordan Staiti 19 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…

From  Henry Lam 12 plays

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

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 5 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…

From  E. Cornelius 30 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 121 plays

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

From  E. Cornelius 71 plays