1 code implementation • 25 Nov 2018 • Jack Fitzsimons, Michael Osborne, Stephen Roberts
Group fairness is an important concern for machine learning researchers, developers, and regulators.
no code implementations • 10 Oct 2018 • Jack Fitzsimons, AbdulRahman Al Ali, Michael Osborne, Stephen Roberts
Fairness, through its many forms and definitions, has become an important issue facing the machine learning community.
1 code implementation • 24 Apr 2017 • Jack Fitzsimons, Diego Granziol, Kurt Cutajar, Michael Osborne, Maurizio Filippone, Stephen Roberts
The scalable calculation of matrix determinants has been a bottleneck to the widespread application of many machine learning methods such as determinantal point processes, Gaussian processes, generalised Markov random fields, graph models and many others.
no code implementations • 5 Apr 2017 • Jack Fitzsimons, Kurt Cutajar, Michael Osborne, Stephen Roberts, Maurizio Filippone
The log-determinant of a kernel matrix appears in a variety of machine learning problems, ranging from determinantal point processes and generalized Markov random fields, through to the training of Gaussian processes.