Profile cover photo
Profile photo
Aaron Roth
About
Aaron Roth's posts

Post has attachment
Submit your papers to WWW 2018
Jennifer Wortman Vaughan and I are the track chairs for the the "Web Economics, Monetization, and Online Markets" track of WWW 2018. The track name is a little unwieldy -- we tried to change it to "Economics and Markets" -- but the focus should be of intere...

Post has attachment

Post has attachment
**
At the beginning of the semester, I mentioned that after the law school's semester of events  (click for videos) on fairness, machine learning, and the law, we would host a technical workshop on recent work on fairness in machine learning. We have now finis...

Post has attachment
Designing the Digital Economy
I'm on a train to New Haven, where I'll be giving a guest lecture (together with Solon Barocas ) in Glen Weyl's class, " Designing the Digital Economy " (n.b. I need to get advice from Glen about how to get as good publicity for my classes...) Solon and I w...

Post has attachment
Semester on Fairness and Algorithms at Penn
This year, the "Fels Policy Research Initiative" is funding two exciting events, both related to fairness and machine learning. The first, joint between the law school and statistics, is called "Optimizing Government", and will host a series of 4 seminars o...

Post has attachment
Another great post by Frank McSherry resolving some misconceptions about the guarantees of differential privacy under correlations between data entries. My favorite passage:

"By way of analogy, we use cryptography to protect our financial information, even though there is probably lots of correlation among our bank accounts. If I see you moving into your new house and call to ask about your mortgage, because often people with new houses have mortgages, have we violated the security guarantees of the cryptosystem your bank uses? Is it now time to write a paper: "cryptography vulnerable to correlated data", announcing that to provide its guarantees, modern cryptography assumes all messages are independent? Please don't."

https://github.com/frankmcsherry/blog/blob/master/posts/2016-08-29.md

Post has attachment
Call for Papers: Second Workshop on Adaptive Data Analysis
As part of NIPS 2016, we will be running the second annual workshop on adaptive data analysis. Last year's workshop was a big hit. As a new addition this year, we are soliciting submitted contributions in addition to invited speakers. The call for papers is...

Post has attachment
Machine Learning Postdoc
My brand new colleague Shivani Agarwal is in the market for a postdoc; the announcement is below. One of the targeted areas is machine learning and economics. Whoever takes this position will join a growing group of exceptional postdocs in this area at Penn...

Post has attachment
Fairness in Learning
The very real problem of (un)fairness in algorithmic decision making in general, and machine learning in particular seems to have finally reached the forefront of public attention. Every day there is a new popular article about the topic. Just in the last f...

Post has attachment
John Oliver on p-hacking (and other sins of empirical science):
https://www.youtube.com/watch?v=0Rnq1NpHdmw
Wait while more posts are being loaded