Search Results for author: Mehul Parsana

Found 3 papers, 1 papers with code

Masked LARk: Masked Learning, Aggregation and Reporting worKflow

1 code implementation27 Oct 2021 Joseph J. Pfeiffer III, Denis Charles, Davis Gilton, Young Hun Jung, Mehul Parsana, Erik Anderson

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.

Privacy Preserving

Improving Native Ads CTR Prediction by Large Scale Event Embedding and Recurrent Networks

no code implementations24 Apr 2018 Mehul Parsana, Krishna Poola, Yajun Wang, Zhiguang Wang

The CTR prediction problem is modeled as a supervised recurrent neural network, which naturally model the user history as a sequence of events.

Click-Through Rate Prediction

Cannot find the paper you are looking for? You can Submit a new open access paper.