9 citations · 21 across the 4 of their papers we have counts for
4 papers
Challenges and approaches to privacy preserving post-click conversion prediction
Conor O'Brien, Arvind Thiagarajan, Sourav Das +5
Online advertising has typically been more personalized than offline advertising, through the use of machine learning models and real-time auctions for ad targeting. One specific t…
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction
Conor O'Brien, Kin Sum Liu, James Neufeld +2
Industrial recommender systems are frequently tasked with approximating probabilities for multiple, often closely related, user actions. For example, predicting if a user will clic…
Adaptive Monte Carlo via Bandit Allocation
James Neufeld, András György, Dale Schuurmans +1
We consider the problem of sequentially choosing between a set of unbiased Monte Carlo estimators to minimize the mean-squared-error (MSE) of a final combined estimate. By reducing…
Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations
Yaoliang Yu, James Neufeld, Ryan Kiros +2
We demonstrate that almost all non-parametric dimensionality reduction methods can be expressed by a simple procedure: regularized loss minimization plus singular value truncation.…