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2018/11/11
Videos from PROBPROG 2018 Conference

Videos of the talks given at the International Conference on Probabilistic Programming (PROBPROG 2018) back in October were published a few days ago and are now available on Youtube. I have not watched all presentations yet, but a lot of big names attended the conference so there should be something for everyone. In particular the talks by Brooks Paige (“Semi-Interpretable Probabilistic Models”) and Michael Tingley (“Probabilistic Programming at Facebook”) made me curious to explore their topics more.


2018/09/30
Videos from Exploration in RL Workshop at ICML

One of the many fantastic workshops at ICML this year was the Exploration in Reinforcement Learning workshop. All talks were recorded and are now available on Youtube. Highlights include presentations by Ian Osband, Emma Brunskill, and Csaba Szepesvari, among others. You can find the workshop’s homepage here with more information and the accepted papers.


2016/12/14
Multi-Armed Bandits at Tinder

In a post on Tinder’s tech blog, Mike Hall presents a new application for multi-armed bandits. At Tinder, they started to use multi-armed bandits to optimize the photo of users that is shown first: While a user can have multiple photos in his profile, only one of them is shown first when another user swipes through the deck of user profiles. By employing an adapted epsilon-greedy algorithm, Tinder optimizes this photo for the “Swipe-Right-Rate”. Mike Hall about the project:

It seems to fit our problem perfectly. Let’s discover which profile photo results in the most right swipes, without wasting views on the low performing ones. …

We were off to a solid start with just a little tweaking and tuning. Now, we are able to leverage Tinder’s massive volume of swipes in order to get very good results in a relatively small amount of time, and we are convinced that Smart Photos will give our users a significant upswing in the number of right swipes they are receiving with more complex and fine-tuned algorithms as we move forward.