1st UCL-Duke University Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), London 2014
14 Lectures · Sep 4, 2014
About
The first UCL-Duke University Workshop on Sensing and Analysis of High-Dimensional Data, which acts as the European counterpart of the Biannual Duke University SAHD Workshop, aims to bring together leading researchers in the general fields of mathematics, statistics, computer science and engineering that work at the intersection of computational statistics, machine learning, signal processing, information and learning theory, and computer science, with the goal to advance the field of sensing, analysis and processing of high-dimensional data.
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Uploaded videos:
Welcome
Welcome
Oct 29, 2014
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3009 Views
Keynote
The Unreasonable Effectivness Of Deep Learning
Oct 29, 2014
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41029 Views
Invited Talks
Conjugate gradient iterative hard thresholding for compressed sensing and matrix...
Oct 29, 2014
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2429 Views
Breaking the coherence barrier - A new theory for compressed sensing
Oct 29, 2014
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2745 Views
Optimal compressive imaging for Fourier data
Oct 29, 2014
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2864 Views
Visual pattern encoding on the Poincaré sphere
Oct 29, 2014
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2440 Views
Tracking dynamic point processes on networks
Oct 29, 2014
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2247 Views
Deep Gaussian processes
Oct 29, 2014
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4623 Views
Mondrian forests: Efficient random forests for streaming data via Bayesian nonpa...
Oct 29, 2014
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8601 Views
Beyond stochastic gradient descent for large-scale machine learning
Oct 29, 2014
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7696 Views
Living on the edge: Phase transitions in convex programs with random data
Oct 29, 2014
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2666 Views
Building an automatic statistician
Oct 29, 2014
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4224 Views
High-dimensional learning with deep network contractions
Oct 29, 2014
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10500 Views
Panel
Big Data - Challenges and Opportunities
Oct 29, 2014
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2842 Views