High Dimensional Problems and Solutions

Laurent Duval just wrote a large entry featuring all the video presentations made at this meeting. The program is listed below. All the videos and abstracts can be found here: 

• Steve Smale (City University of Hong Kong) "Hodge Theory"
• Mauro Maggioni (Duke) "Multiscale geometric methods for the analysis of points clouds"
• Gilad Lerman (Univ. of Minnesota) "Multi-Manifold Data Modeling: Foundations and Applications"
• Christoph Schwab (ETH Zurich) "Sparse Tensor Approximations of PDEs on high-dimensional parameter spaces"
• Yvon Maday (Paris VI) "Reduced basis and magic point for high dimensional approximation problems"
• Wolfgang Dahmen (RWTH Aachen) "A greedy approach for the reduced basis method - Convergence rates"
• Emmanuel Vasquez (Supelec) "Gaussian processes, RKHS and their applications to computer experiments" 
• Przemek Wojtaszczyk (Univ. Warsaw) "Approximation of functions of few variables in high dimension "
• Dominique Picard (Paris VII) "LOL: thresholdings and high dimensions"
• Rob Nowak (Univ. of Wisconsin) "Adaptive and Nonlinear Designs for Large-Scale Multiple Hypothesis Testing"
• Martin Wainwright (Berkeley) "Recovery problems in high dimensions: A unified analysis of estimators with decomposable regularizers"
• Stephane Mallat (Polytechnique) "High dimensional classification by recursive interferometry"