Workshop on the Future of Random Projections II

Video streaming is available here: http://nuit-blanche.blogspot.fr/2018/04/mini-workshop-future-of-random.html

As data is getting richer, the need to make sense of it is becoming paramount in many different areas. In this context of large scale learning, Random Projections offer a way to be useful in a variety of unsupervised and supervised learning techniques. In this workshop, we will explore the different use of this transform from the point of you of several research areas featured in each talk.

The program (full program is here: https://nuit-blanche.blogspot.fr/2018/04/mini-workshop-future-of-random.html )

starts at 1pm Paris time.

• Laurent Jacques, UC Louvain, "Time for dithering! Quantized random embeddings with RIP random matrices."
• Dmitry Ulyanov, Strelkov Institute, "Deep Image Prior"
• Julien Mairal, Inria Grenoble, "Foundations of Deep Learning from a Kernel Point of View."
• Kurt Cutajar , EURECOM, “Random Feature Expansions for Deep Gaussian Processes”

The workshop will be streamed. Stay tuned and we will give the link, the day before the workshop.

This is a follow-up workshop to this workshop: http://nuit-blanche.blogspot.fr/2017/12/program-streaming-future-of-random.html