I'm looking for bands with names that have a CS connection (accidentally or otherwise). I was playing a Spotify playlist called (coincidentally) Deep Focus and the first band on the list was called Random Forest.
So here's my list so far:
Any more ?
Translation: Experts find it really hard to be simple and straightforward when writing about their expertise. He calls this the “curse of knowledge” and says academics aren’t aware they’re doing it or properly trained to identify their blindspots—when they know too much and struggle to ascertain what others don’t know. In other words, sometimes it’s simply more intellectually challenging to write clearly.For me, blogging has always been a way out of this blind spot. First of all, I can be more conversational and less stilted. Secondly, even if I'm writing for a technical audience, I'm forced to pare down the jargon or go crazy trying to render it.
We are organizing a Sublinear Algorithms workshop that will take place at Johns Hopkins University, January 7-9, 2016. The workshop will bring together researchers interested in sublinear algorithms, including sublinear-time algorithms (e.g., property testing and distribution testing), sublinear-space algorithms (e.g., sketching and streaming) and sublinear measurements (e.g., sparse recovery and compressive sensing).
The workshop will be held right before SODA’16, which starts on January 10 in Arlington, VA (about 50 miles from JHU).
Participation in this workshop is open to all, with free registration. In addition to 20+ excellent invited talks, the program will include short contributed talks by graduating students and postdocs, as well as a poster session. To participate in the contributed talk session and/or the poster session, apply by December 1.
For further details and registration, please visit
Vladimir Braverman, Johns Hopkins University
Piotr Indyk, MIT
Robert Krauthgamer, Weizmann Institute of Science
Sofya Raskhodnikova, Pennsylvania State University
What is one thing you think we are missing (or should be paying more attention to) in our current discussions of fairness and discrimination in terms of interaction with the social/policy/legal world OUTSIDE CS ?
In your view, what’s the next most pressing question we should be asking (limited to INSIDE CS to distinguish from the previous question) ?
do we have to solve the causality problem in order to talk about fairness ?