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.

Contact

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).

Objective

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:

Publications

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.

News

May 2, 2013 – I presented a short talk on Prediction Markets, Aggregation, and Optimisation at the NICTA Machine Learning and Optimisation Workshop in Sydney.

April 22, 2013 – I will be visiting Tsinghua University, Beijing from the 7–10th of May as part of a Australia-China Science and Research Fund group mission.

April 2, 2013 – I have officially started work on my DECRA-funded project: Composing Machine Learning via Market Mechanisms.

Older News →

Teaching

I co-lectured a course on Information Theory (COMP2610) with Edwin Bonilla in the second semester of 2011 and 2012. I also be co-lectured Advanced Topics in Statistical Machine Learning (COMP8650) in semester 2, 2012.

Students

I am currently primary supervisor for three PhD students:Avi Ruderman, Nicolás Della Penna, and Mindika Premachandra. I also supervise Nam Ho, an Honours Student at the Mathematical Sciences Institute.

I am not looking to supervise any more students at present.

Blog

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

Activities

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 a member of the program committee for ICML 2013. I was local organiser for ALT 2010 as well as a member of its Program Committee. I have also been on the program committee for NIPS 2012, ACML 2012, and AI12.

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), and have also set up a discussion site for ICML and presented at the 2009 Machine Learning Summer School.

I have also participated in the Mathematicians in Schools program as a partner with Yass High School.