Archive for the ‘conferences’ Category

On the way back from NIPS 2015, we got the idea of organizing an ICML workshop on data-efficient machine learning. Data-efficient machine learning is something that is currently somewhat out of the focus of the deeply hyped machine learning community, but there are so many applications where you can simply not collect enough data, e.g., personalized healthcare.

The workshop will be happening at ICML this year, and we are quite excited about the quality of the papers submitted, the invited speakers, and  the breadth of topics that fall into the category of data-efficient machine learning.

More information can be found here.

Advertisements

This is a brief summary of the first part of the Deep RL workshop at NIPS 2015. I couldn’t get a seat for the second half…

(more…)

I attended the Bayesian Optimization workshop at NIPS 2015, and the following summarizes what was going on in the workshop from my perspective. This post primarily serves my self-interest in not losing these notes. But it may be useful for others as well.

Organizers:

Website

The workshop was effectively run by Bobak Shahriari and Roberto Calandra. In the beginning of the workshop, Bobak Shahriari was giving a brief introduction to Bayesian Optimization (BO), motivating the entire setting of data-efficient global black-box optimization and the gap that this workshop will address. (more…)

Rich Sutton gave a tutorial on function approximation in RL. Rich being one of the pioneers of RL, I was looking forward to his insights. He started off with some inherent properties of reinforcement learning, which include:

  • Evaluative Feedback
  • Delayed consequences
  • Trial and error learning
  • Non-stationarity
  • Sequential problems
  • No human instruction

(more…)

I just returned from the Gaussian Process Summer School in Sheffield, followed by a Workshop on Bayesian Optimization. The aim of the GPSS was to expose people to Gaussian processes. This was done by some introductory lectures on GP regression, followed by some generalizations (e.g., classification, the GP-LVM, sparse GPs, Bayesian optimization) and some talks on current GP research.

(more…)

ICML Impressions

Posted: 2015-07-13 in conferences, research

I just returned from ICML. I’m summarizing a few impressions below. (more…)