#### 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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3003 Views

## Keynote

### The Unreasonable Effectivness Of Deep Learning

Oct 29, 2014

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41001 Views

## Invited Talks

### Conjugate gradient iterative hard thresholding for compressed sensing and matrix...

Oct 29, 2014

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2423 Views

### Breaking the coherence barrier - A new theory for compressed sensing

Oct 29, 2014

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2739 Views

### Optimal compressive imaging for Fourier data

Oct 29, 2014

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2861 Views

### Visual pattern encoding on the Poincaré sphere

Oct 29, 2014

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2437 Views

### Tracking dynamic point processes on networks

Oct 29, 2014

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2245 Views

### Deep Gaussian processes

Oct 29, 2014

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4619 Views

### Mondrian forests: Efficient random forests for streaming data via Bayesian nonpa...

Oct 29, 2014

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8591 Views

### Beyond stochastic gradient descent for large-scale machine learning

Oct 29, 2014

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7690 Views

### Living on the edge: Phase transitions in convex programs with random data

Oct 29, 2014

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2660 Views

### Building an automatic statistician

Oct 29, 2014

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4217 Views

### High-dimensional learning with deep network contractions

Oct 29, 2014

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10494 Views

## Panel

### Big Data - Challenges and Opportunities

Oct 29, 2014

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2839 Views