My current research interests include: loss functions in statistical and online learning, and connections between learning theory and market mechanisms.
My research vision can be distilled down to wanting to build theoretical and practical foundations for wide-spread, machine-assisted inference. I am doing so through the following funded projects:
March 10, 2015 – The international conference on Predcitive APIS and Apps will be held in Sydney on August 6–7th this year, right after KDD. I will be involved as the Research Chair. Please consider attending or, better yet, submitting a proposal. Hope to see you there!
February 25, 2015 – I am presenting a tutorial on prediction markets and their connections to machine learning at the Machine Learning Summer School in Sydney.
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I convened and co-lectured a course on Information Theory (COMP2610) with Aditya Menon in semester 2, 2014. I previously taught this with Edwin Bonilla in 2011 and 2012, and with Aditya in 2013. I also co-lectured Advanced Topics in Statistical Machine Learning (COMP8650) in semester 2, 2012. Some course material is available here:
I am currently primary supervisor for three PhD students:Avi Ruderman, Nicolás Della Penna, and Mindika Premachandra. I supervised Nam Ho, an Honours Student at the Mathematical Sciences Institute in 2013.
I was local organiser for ALT 2010 as well as a member of its Program Committee. I have also been on program committees for ICML, NIPS, UAI, and ACML. I have reviewed for journals (JMLR, JAIR, PAMI, TCS, Trans. on Info. Theory, Trans. on NNLS, PloS ONE, and AMS Mathematical Reviews), conferences (including NIPS, ICML, COLT, and UAI).I have also participated in the Mathematicians in Schools program as a partner with Yass High School.