Videos and Slides

  1. • Ingrid Daubechies, Sparsity in Data Analysis and Computation (slides video)

  2. • Pierre Vandergheynst, Wavelets and filter banks on graphs (slides video)

  3. • Amit Singer, Vector Diffusion Maps and the Connection Laplacian (slides video)

  4. • Justin Romberg, Parameter Estimation from Compressive Samples (slides video)

  5. • Tony Jebara, Multitask Sparsity via Maximum Entropy Discrimination (slides video)

  6. • Andrea Bertozzi, Diffuse Interface Models on Graphs for Classification of High-Dim Data (slides video)

  7. • Rick Chartrand, Nonconvex Splitting Algorithms and Video Decomposition (slides video)

  8. • Mario Figueiredo, Alternating Direction Optimization (slides video)

  9. • Donald Goldfarb, Methods for Stable Principal Component Pursuit (slides video)

  10. • Ben Recht, The Convex Geometry of Linear Inverse Problems (slides video)

  11. • Guillermo Sapiro, The Return of PCA (slides video)

  12. • Robert Nowak, Sequential Analysis in High-Dimensional Multiple Testing and Sparse Recovery (slides video)

  13. • Babak Hassibi, Subspace Expanders and Low Rank Matrix Recovery (slides video)

  14. • Joel Tropp, Finding structure with randomness (slides video)

  15. • David Blei, Scalable Topic Models (slides video)

  16. • John Lafferty, Matrix Sparse Coding (slides)

  17. • Maya Gupta, Multi-task Averaging (slides video)

  18. • Volkan Cevher, The CLASH Operator (slides video)

  19. • Jian Li, Easy Does It: Parameter Free Dense and Sparse Spectral Estimation Algorithms (slides video)

  20. • Doug Cochran, Operator-Theoretic Modeling for Radar in the Presence of Doppler (slides video)

  21. • Eric Xing, Smoothing Proximal Gradient Method for General Structured Sparse Regression (slides video)

  22. • Walter Willinger, On a new Internet Traffic Matrix (Completion) Problem (slides video)

  23. • Martin Wainwright, Sparse and Smooth: Convex relaxation for high-dim kernel regression (slides video)

  24. • Robert Bell on Winning the Netflix Prize (video)

  25. • Anna Gilbert, Recovering Simple Signals (slides video)

  26. • Piotr Indyk, Image acquisition using sparse (pseudo)-random matrices (slides video)

  27. • Andrea Montanari, Shrinkage estimators for low rank matrices (slides video)

  28. • Martin Strauss, Sublinear Time, Measurement-Optimal, Sparse Recovery For All (slides video)

  29. • Larry Brown, A SURE Estimator for a Heteroscedastic Hierarchical Model (slides video)

  30. • James Scott, Regularization with variance-mean mixtures (slides video)

  31. • Rene Vidal, Sparsity and Rank Minimization in Unions of Subspaces (slides video)

  32. • Stan Osher, Applications and Implications of Fast Methods for L1 Related Optimization (slides video)

  33. • Michael Wakin, An Efficient Dictionary for Reconstruction of Sampled Multiband Signals (slides video)

  34. • Mike Gehm, Spectral classification sensors: An adaptive approach (slides video)

  35. • Patrick Wolfe, Point process modeling for directed interaction networks (slides)

  36. • Robert Bell, Netflix Prize Winner, Principled Regularization for Matrix Factorization (slides video)