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Lecture 11/16/21: Generalized low rank models duration 1 hour 21 minutes Lecture 11/16/21: Generalized low rank models Lecture 11/16/21: Generalized low rank models	Lecture 11/16/21: Generalized low rank models Zoom Recording ID: 94347618999 UUID: SAWHob9hQW2cn6V0EZ64cg== Meeting Time: 2021-11-16T14:36:06Z loss +19 More From Madeleine Udell 123 plays
Lecture 11/9/21: Unsupervised learning (PCA) duration 1 hour 42 minutes Lecture 11/9/21: Unsupervised learning (PCA) Lecture 11/9/21: Unsupervised learning (PCA)	Lecture 11/9/21: Unsupervised learning (PCA) Zoom Recording ID: 94347618999 UUID: i0nonjabSNqNawDsvIrVAQ== Meeting Time: 2021-11-09T14:28:43Z loss +19 More From Madeleine Udell 164 plays
Lecture 10/7: quadratic regularization duration 1 hour 37 minutes Lecture 10/7: quadratic regularization Lecture 10/7: quadratic regularization	Lecture 10/7: quadratic regularization Zoom Recording ID: 94347618999 UUID: 7YUf4lI8Raqwy7q7xnfsGQ== Meeting Time: 2021-10-07T13:29:35Z times +19 More From Madeleine Udell 157 plays
ORIE Colloquium on 10/5/2021: Jeff Linderoth duration 1 hour 7 minutes ORIE Colloquium on 10/5/2021: Jeff Linderoth ORIE Colloquium on 10/5/2021: Jeff Linderoth	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… subspace +19 More From E. Cornelius 6 plays
Lecture 10/5: underdetermined least squares duration 1 hour 30 minutes Lecture 10/5: underdetermined least squares Lecture 10/5: underdetermined least squares	Lecture 10/5: underdetermined least squares Zoom Recording ID: 94347618999 UUID: 1fmcXhxQQqWFDI9P5S6wKg== Meeting Time: 2021-10-05T13:30:44Z error +19 More From Madeleine Udell 136 plays
4.16.21 Madeleine Udell, Cornell University duration 1 hour 14 minutes 4.16.21 Madeleine Udell, Cornell University 4.16.21 Madeleine Udell, Cornell University	4.16.21 Madeleine Udell, Cornell University Zoom Recording ID: 94765771101 UUID: PdHUv8VrQZK1vScIPYbP6g== Meeting Time: 2021-04-16T15:06:54Z dataset +19 More From Jordan Staiti 38 plays
4.2.21 Ayush Sekhari, Cornell University duration 56 minutes 52 seconds 4.2.21 Ayush Sekhari, Cornell University 4.2.21 Ayush Sekhari, Cornell University	4.2.21 Ayush Sekhari, Cornell University Zoom Recording ID: 94765771101 UUID: LRqyVkL4R+mwcGaYqH8GVg== Meeting Time: 2021-04-02T15:11:04Z class +19 More From Jordan Staiti 47 plays
3.26.21 Hongning Wang, University of Viriginia duration 56 minutes 56 seconds 3.26.21 Hongning Wang, University of Viriginia 3.26.21 Hongning Wang, University of Viriginia	3.26.21 Hongning Wang, University of Viriginia Zoom Recording ID: 94765771101 UUID: dGLlmYgzT0mo7/bxBdk3XA== Meeting Time: 2021-03-26T15:08:01Z kind +19 More From Jordan Staiti 20 plays
ORIE Colloquium: Lijun Ding/Angela Zhou (Cornell… duration 1 hour 4 minutes ORIE Colloquium: Lijun Ding/Angela Zhou (Cornell… ORIE Colloquium: Lijun Ding/Angela Zhou (Cornell Univeristy), March 2, 2021	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… kind +19 More From Henry Lam 13 plays
20191030_CIDA_Food Industry_Grower’s… duration 51 minutes 2 seconds 20191030_CIDA_Food Industry_Grower’s… 20191030_CIDA_Food Industry_Grower’s Panel_Improving Food Production Efficiency Through Tech Innovations_Opportunities and Barriers.mp4	20191030_CIDA_Food Industry_Grower’s Panel_Improving Food Production Efficiency Through Tech Innovations_Opportunities and Barriers.mp4 logistics +74 More From Matt Gorney 10 plays
ORIE 9000 Colloquium - Madeleine Udell:… duration 1 hour 5 minutes ORIE 9000 Colloquium - Madeleine Udell:… ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank Models	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… optimization algorithms and methods +79 More From E. Cornelius 7 plays
CAM Colloquium September 19, 2014 - Julianne… duration 55 minutes 40 seconds CAM Colloquium September 19, 2014 - Julianne… CAM Colloquium September 19, 2014 - Julianne Chung: Designing Optimal Spectral Filters and Low-Rank Matrices for Inverse Problems	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… web colors +138 More From E. Cornelius 33 plays
ORIE Colloquium, 2013-02-20 - Sahand Negahban:… duration 59 minutes 44 seconds ORIE Colloquium, 2013-02-20 - Sahand Negahban:… ORIE Colloquium, 2013-02-20 - Sahand Negahban: Structured Estimation in High-Dimensions	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… philosophical logic +157 More From E. Cornelius 126 plays
CAM Colloquium, 2014-09-19 - Julianne Chung:… duration 55 minutes 40 seconds CAM Colloquium, 2014-09-19 - Julianne Chung:… CAM Colloquium, 2014-09-19 - Julianne Chung: Designing Optimal Spectral Filters and Low-rank Matrices for Inverse Problems	CAM Colloquium, 2014-09-19 - Julianne Chung: Designing Optimal Spectral Filters and Low-rank Matrices for Inverse Problems information theory +135 More From E. Cornelius 78 plays