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Previewing file Bajaj-Variational_Autoencoders_with_Applications-XRD.pdf
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Bajaj-Sampling-Slides-2020.pdf | Sep 15, 20209/15/2020 | Sep 15, 20209/15/2020 | 11.2 MB | ||||
Bajaj-SketchyCoreSVD_from_Subsampled_DataMatrix.pdf | Nov 4, 202011/4/2020 | Nov 4, 202011/4/2020 | 3 MB | ||||
Bajaj-Variational_Autoencoders_with_Applications-XRD.pdf | Oct 5, 202010/5/2020 | Dec 6, 202012/6/2020 | 541 KB | ||||
Fall_2020_Lecture_GFML378-CompressiveSensing.pdf | Nov 4, 202011/4/2020 | Nov 4, 202011/4/2020 | 234 KB | ||||
Fall_2020_Lecture_GFML378-Random_Matrix-Sampling.pdf | Nov 4, 202011/4/2020 | Nov 4, 202011/4/2020 | 213 KB | ||||
Fall_2020_Lecture_Note_GFML-CCA-QR.pdf | Nov 4, 202011/4/2020 | Nov 4, 202011/4/2020 | 259 KB | ||||
Fall_2020_Lecture_Note_PML-mcmc_.pdf | Oct 12, 202010/12/2020 | Oct 12, 202010/12/2020 | 252 KB | ||||
Fall_2020_PML_Convex_optz.pdf | Sep 2, 20209/2/2020 | Sep 2, 20209/2/2020 | 350 KB | ||||
Fall_2020_PML_Norms-Function-Approx.pdf | Sep 2, 20209/2/2020 | Sep 2, 20209/2/2020 | 428 KB | ||||
Fall_2020_PML_Sampling_HighDim.pdf | Sep 2, 20209/2/2020 | Sep 20, 20209/20/2020 | 743 KB | ||||
Fall_2020_PML-Proximal_Gradients-Matrix-Completion-ADMM.pdf | Sep 15, 20209/15/2020 | Sep 16, 20209/16/2020 | 776 KB | ||||
Fall_2020_ProbabilityPrimer_.pdf | Sep 2, 20209/2/2020 | Sep 2, 20209/2/2020 | 405 KB | ||||
Fall_2020_StatParamLearning-EM-Mixed-regression.pdf | Sep 28, 20209/28/2020 | Sep 28, 20209/28/2020 | 2.5 MB | ||||
K-Learning-Koopman-Operator-DMD-Notes.pdf | Oct 24, 202010/24/2020 | Nov 4, 202011/4/2020 | 12.2 MB | ||||
Koopman__Dynamic_Mode_Decomposition_and_Vector_Valued_functions_Governed_by_ODEs.pdf | Oct 19, 202010/19/2020 | Nov 26, 202011/26/2020 | 427 KB | ||||
Lagrange.pdf | Aug 30, 20208/30/2020 | Dec 6, 202012/6/2020 | 267 KB | ||||
Learning_Stabilized_Reduced__Order_Models_of_Dynamic__Data.pdf | Sep 27, 20209/27/2020 | Dec 7, 202012/7/2020 | 1 MB | ||||
Lec-Models from Data-Part2 -AMRR.pdf | Sep 12, 20209/12/2020 | Sep 13, 20209/13/2020 | 2.2 MB | ||||
Lec-Models-from-Data_Part I_ Projections -PGraDescent 2.pdf | Aug 31, 20208/31/2020 | Sep 9, 20209/9/2020 | 4 MB | ||||
Lec0-395T-Learning-RL-Models-from-Data.pdf | Aug 29, 20208/29/2020 | Sep 1, 20209/1/2020 | 48.3 MB | ||||
Lecture notes8-9Expectation Maximization.pdf | Sep 12, 20209/12/2020 | Sep 28, 20209/28/2020 | 2.1 MB | ||||
Lecture- notes - Transform-Sampling.pdf | Sep 12, 20209/12/2020 | Sep 15, 20209/15/2020 | 1.2 MB | ||||
Lecture-note--MC-QMC-Integ.pdf | Sep 15, 20209/15/2020 | Sep 15, 20209/15/2020 | 197 KB | ||||
Spring_2020_Lecture_Note_Archive__StochasticGradientDescent.pdf | Oct 5, 202010/5/2020 | Oct 12, 202010/12/2020 | 144 KB | ||||
Spring-School-Face-Ident-AMRR-example.pdf | Nov 4, 202011/4/2020 | Nov 6, 202011/6/2020 | 2.8 MB |