ICCV 2015, the International Conference on Computer Vision, is one of the premier venues for computer vision research, together with the CVPR conference. This ICCV is happening in Santiago, Chile, a beautiful city with amazing food.

Time-series analysis is becoming mainstream across multiple data-rich industries. The new spark-ts library helps analysts and data scientists focus on business questions, not on building their own algorithms.

An op-ed piece I wrote inspired by the launch of OpenAI appeared in the Guardian today. Here it is reposted below.

I just returned from NIPS 2015, a joyful week of corporate parties featuring deep learning themed cocktails, money talk, recruiting events, and some scientific activities on the side. In the latter category, I co-organized a workshop on adaptive data analysis with Vitaly Feldman, Aaron Roth and Adam Smith.

There’s a famous quote from former Secretary of Defense Donald Rumsfeld:

The full code is available on Github.

This continues the first part on tips to write computer science papers.

There have been a number of papers at NIPS that use Hamiltonian Monte Carlo, and I thought I’d share a Javascript implementation of the algorithm that I wrote a couple years ago. It can be a fairly opaque algorithm when described mathematically, and I found it really useful to see it working. It turns out it’s kind of mesmerizing.

### ICCV 2015: Twenty one hottest research papers