Search Results for author:
Found 3 papers, 1 papers with code
Masked LARk: Masked Learning, Aggregation and Reporting worKflow
We introduce a secure multi-party compute (MPC) protocol that utilizes "helper" parties to train models, so that once data leaves the browser, no downstream system can individually construct a complete picture of the user activity.
Improving Native Ads CTR Prediction by Large Scale Event Embedding and Recurrent Networks
The CTR prediction problem is modeled as a supervised recurrent neural network, which naturally model the user history as a sequence of events.
Kernels on Attributed Pointsets with Applications
This paper introduces kernels on attributed pointsets, which are sets of vectors embedded in an euclidean space.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
