# Category Archives: Uncategorized

## Prospective graduate student? Consider University of Washington!

This post is targeted at prospective graduate students, especially foreigners from outside the US, who are primarily interested in optimization but also have a taste for probability theory (basically readers of this blog!). As a foreigner myself I remember that … Continue reading

## Guest post by Miklos Racz: The fundamental limits of dimension estimation in random geometric graphs

This post is a continuation of the previous one, where we explored how to detect geometry in a random geometric graph. We now consider the other side of the coin: when is it impossible to detect geometry and what are … Continue reading

## COLT 2016 videos

This is a one-sentence post for the set {blog followers}\{Twitter/Facebook followers} to advertise the COLT 2016 videos which have just been posted!

## AlphaGo is born

Google DeepMind is making the front page of Nature (again) with a new AI for Go, named AlphaGo (see also this Nature youtube video). Computer Go is a notoriously difficult problem, and up to now AI were faring very badly … Continue reading

## One year of blogging

A year ago I started this blog. I did not expect this experience to be so rewarding. For instance seeing weeks after the weeks the growing interest for the optimization posts gave me the stamina to pursue this endaveor to … Continue reading

## COLT 2013/ICML 2013 videos

The videos for COLT 2013 were just published on videolectures.net. The videos for ICML 2013 are also available on TechTalks.tv.

## Two summer readings on Big Data and Deep Learning

This is the first (short) post dedicated to the Big Data program of the Simons Institute. We received from the program organizer Mike Jordan our first reading assignment which is a report published by the National Academy of Sciences on the “Frontiers in Massive … Continue reading

## ICML and isotropic position of a convex body

ICML 2013 just finished a few days ago. The presentation that inspired me the most was the invited talk by Santosh Vempala. He talked about the relations between sampling, optimization, integration, learning, and rounding. I strongly recommend Vempala’s short survey … Continue reading

## COLT (with bombs, deep learning and other exciting stuff)

The 2013 edition of COLT at Princeton just finished a few days ago and I’m happy to report that everything went smoothly! We had a sort of stressful start (at least for the organizers..) since on the day before the … Continue reading

## COLT 2013 accepted papers

The accepted papers for COLT 2013 have just been revealed. You can also find the list below with a link to the arxiv version when I could find one (if you want me to add a link just send me … Continue reading