Socal workshop season is in full swing

People outside of Southern California often don’t appreciate how dense (and strong) the collection of universities is in the socal region.  Between Caltech, USC, UCLA, UCSD, UCSB, Irvine, Riverside, etc.  There’s a lot of exciting stuff going on!  And, one of the great things about the area is that there’s a strong sense of community.  That is really on show at this time of the year…

We’re in the middle of workshop season in the LA area where every week or so there is a Socal X workshop.  We’ve already had the Socal Control Workshop, next up is the Socal Network Economics and Game Theory (NEGT) symposium (next Friday).  The week after, we have the Socal Theory Day, and the week after that we have the Socal Machine Learning day! (The last two are being hosted at Caltech this year.)

So, if you’re in the area — I’ll probably see you at least once over the next few weeks!  Be sure to register for the ones you want to attend ASAP…

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Introducing DOLCIT

At long last, we have gotten together and created a “Caltech-style” machine learning / big data / optimization group, and it’s called DOLCIT: Decision, Optimization, and Learning at the California Institute of Technology.  The goal of the group is to take a broad and integrated view of research in data-driven intelligent systems. On the one hand, statistical machine learning is required to extract knowledge in the form of data-driven models. On the other hand, statistical decision theory is required to intelligently plan and make decisions given imperfect knowledge. Supporting both thrusts is optimization.  DOLCIT envisions a world where intelligent systems seamlessly integrate learning and planning, as well as automatically balance computational and statistical tradeoffs in the underlying optimization problems.

In the Caltech style, research in DOLCIT spans traditional areas from applied math (e.g., statistics and optimization) to computer science (e.g., machine learning and distributed systems) to electrical engineering (e.g., signal processing and information theory). Further, we will look broadly at applications spanning information and communication systems to the physical sciences (neuroscience and biology) to social systems (economic markets and personalized medicine).

In some sense, the only thing that’s new is the name, since we’ve been doing all these things for years already.  However, with the new name will come new activities like seminars, workshops, etc.  It’ll be exciting to see how it morphs in the future!

(And, don’t worry, RSRG is still going strong — RSRG and DOLCIT should be complementary with their similar research style but differing focuses with respect to tools and applications.)