Photo of Mark Reid at work I'm a Research Fellow in the Research School of Computer Science at the Australian National University in Canberra, Australia and a contributed researcher to NICTA's Machine Learning research group.

My current research interests include: loss functions in statistical and online learning, and connections between learning theory and market mechanisms.


I can be reached at work by phone on (+61) 2 6267 6297, by email at . My office is on the 2nd floor of the NICTA Canberra Research Lab (Map).


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:


I have published research in variety of areas including, most recently: learning theory, prediction markets, and boosting. A complete list is available at my publications page.


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.

December 12, 2014Rafael Frongillo will present our paper on Randomized Subspace Descent at the NIPS 2014 Optimization Workshop.

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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.


Since September 2007 I have kept a blog on machine learning and statistical inference called Inductio ex Machina.


I am currently the Production Editor for the JMLR Workshop & Conference Proceedings. I am also an Action Editor for the JMLR's Machine Learning and Open Source Software track.

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.