On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, please contact halo@digital.ox.ac.uk
Debiased machine learning based on regression requires estimation of an unknown debiasing function. We give an automatic method of estimating the debiasing function based on any machine learner. This method only depends on the parameter of interest and the machine learner. We give primitive regularity conditions for neural net estimation of the debiasing function and show its superior performance relative to inverse probability weighting in estimating the average treatment effect in a state of the art example.
