Justin Domke Senior Researcher, Machine Learning Group, NICTA email: (my first name).(my last name)@nicta.com.au Honorary Senior Lecturer, Research School of Computer Science, Australian National University email: (my first name).(my last name)@anu.edu.au phone: (+61) 2 9490 5973 office: L5.07, 13 Garden Street, Eveleigh NSW 2015, Australia

Research Interests
Machine Learning, Probabilistic Graphical Models, Convex Optimization, Structured Learning

Recent Publications

Distributed Solar Prediction with Wind Velocity, IEEE Photovoltaic Specialists Conference 2016 (with N. Engerer, A. Menon and C Webers)

Clamping Improves TRW and Mean Field Approxim ations, AISTATS 2016 (with A. Weller)

Reflection, Refraction, and Hamiltonian Monte Carlo, NIPS 2015 (with H. Afshar)

Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets, NIPS 2015

Loss-calibrated Monte Carlo Action Selection, AAAI 2015 (with E. Abbasnejad and S. Sanner)

Projecting General Markov Random Fields for Fast Mixing, NIPS 2014 (with X. Liu)

Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems, ICML 2014 (with A. Defazio and T. Caetano) [talk]

Training Structured Predictors Through Iterated Logistic Regression, in Advanced Structured Prediction, 2014. [talk]

Weblog
justindomke.wordpress.com

Software
Graphical Models Toolbox (Matlab toolbox)
MARBL (Command line C++ tool, also usable on clusters.)

Teaching
(at ANU)
Semester 2 2014 Advanced Topics in Statistical Machine Learning (Structured Probabilistic Models)
Semester 2 2013 Advanced Topics in Statistical Machine Learning (Convex Optimization)
(at RIT)
Spring 2011-2012 Statistical Machine Learning
Winter 2011-2012 Discovery
Spring 2010-2011 Statistical Machine Learning
Winter 2010-2011 Discovery
Winter 2010-2011 Artificial Intelligence
Spring 2009-2010 Statistical Machine Learning